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Feature extraction

Subclass of:

382 - Image analysis

382181000 - PATTERN RECOGNITION

Patent class list (only not empty are listed)

Deeper subclasses:

Class / Patent application numberDescriptionNumber of patent applications / Date published
382195000 Local or regional features 849
382191000 Multispectral features (e.g., frequency, phase) 27
382192000 Feature counting 18
382206000 Global features (e.g., measurements on image as a whole, such as area, projections, etc.) 11
382207000 Waveform analysis 10
Entries
DocumentTitleDate
20090060343METHOD FOR PARTIALLY OBSCURING CONTENT OF DOCUMENTS AND IMAGES - A method for partially obscuring part of a document (or image) for the purpose of hiding the content of that document while still revealing portions of the document so that the nature and validity of the content can be determined.03-05-2009
20090034846HIGH DENSITY QUEUE ESTIMATION AND LINE MANAGEMENT - The present invention is directed to the measurement of attributes of a queue. A method for measuring an attribute of a queue in accordance with an embodiment includes: acquiring a plurality of images of a queue; extracting features from the images of the queue; analyzing the extracted features; and measuring the attribute based on the analysis of the extracted features; wherein the analyzing further comprises analyzing the extracted features at a plurality of successive time points to determine successive correspondences between the extracted features, and wherein the measuring further comprises measuring the attribute based on the successive correspondences02-05-2009
20100061636FACE DETECTOR AND FACE DETECTING METHOD - A face detector includes a detection processor for detecting a facial image from a frame of a motion picture according to template matching by use of a parameter, or a window size and window shift of a window. A parameter controller assigns the detection processor with a predetermined normal variation range of the parameter, to carry out face detection of a first frame of the motion picture according to the normal variation range, determines a limited variation range smaller than the normal variation range according to at least one of a value of the parameter used for the face detection of the first frame and the facial image of the first frame. The detection processor is assigned with the limited variation range, to carry out face detection of a succeeding frame after the first frame of the motion picture according to the limited variation range.03-11-2010
20080260255Image processing apparatus, imaging apparatus, image processing method, and computer program - Disclosed herein is an image processing apparatus, including a representative face extraction unit configured to detect face images in an image frame that forms part of video image data, and select, from the detected face images, a face image to be used as index information. The representative face extraction unit is configured to calculate a score of each of the face images detected in the image frame based on characteristics of the face image, and select a detected face image whose score is high as an index-use face image.10-23-2008
20080260254Automatic 3-D Object Detection - This invention relates to systems for automatically detecting and segmenting anatomical objects in 3-D images. A method of detecting an anatomical object employing the Generalized Hough Transform, comprising the steps of: a) generating a template object; b) identifying a series of edge points in the template and storing their relative position data and additional identifying information in a table; c) carrying out an edge detection process on the object and storing relative position data and detected points in the object; d) applying a modified Hough Transform to the detected data, in order to identify detected points of the object corresponding to edges of the template, in which the voting weight of each detected point is modified in accordance with a predetermined correspondence between the additional identifying information of the detected data, and the additional identifying information which has been stored for the template, and in which the classification of detected points is also refined by applying further predetermined information relating to model point grouping and base model weights.10-23-2008
20080260253Information Processing Apparatus, Feature Extraction Method, Recording Media, and Program - The present invention relates to an information processing apparatus, a feature extraction method, a recording media, and a program that are adapted to easily and correctly extract features of classes in which a plurality of elements are classified. Of all combinations of metadata for each piece of content belonging to each class subject to feature extraction, a combination extraction block 10-23-2008
20100002938METHOD OF DISPLAYING DIGITAL IMAGE FOR DIGITAL LOCATING SYSTEM AND DEVICE FOR UNDERGROUND OBJECT DETECTION - An underground digital locating system includes a receiver capable of acquiring a signal produced by an underground object and displaying a digital representation of the orientation of underground object and of its depth. The system includes a carrying case for the digital locating receiver, the carrying case further including a transmitter for energizing underground objects to emit a magnetic field. A method of locating an underground object using the described system is also disclosed, as well as methods of measuring a flux field and translating a flux field signal of an underground object into a visual representation of the underground object on the display screen of the locating receiver.01-07-2010
20110194774INFORMATION PROCESSING APPARATUS AND INFORMATION PROCESSING METHOD - Methods and apparatuses for detecting a plurality of pixels of interest within an image and identifying luminance values corresponding to a predetermined object. The apparatus for detecting includes a memory configured to store first and second images captured using light of first and second wavelengths, respectively. The apparatus for detecting further includes at least one processor configured to detect a plurality of pixels of interest within the first captured image based on luminance values of the stored first and second captured images. The apparatus for identifying includes a memory configured to store a processed image, and at least one processor configured to determine frequencies of luminance values of the plurality of pixels of interest in the processed image and to determine a range of luminance values corresponding to a predetermined object within the processed image based on the determined frequencies of the luminance values.08-11-2011
20110194773IMAGE PROCESSING APPARATUS - An image processing apparatus includes an image inputting unit for inputting a plurality of facial images; a detecting unit for detecting a facial region of each of the facial images; a correction ratio calculating unit for calculating a correction ratio of the facial region of each of the facial images; a position calculating unit for calculating a positional deviation of the facial region of each of the facial images; and a correcting unit for correcting a layout of each of the facial images through enlarging or reducing each of the facial images according to the correction ratio and moving each of the facial images according to the positional deviation.08-11-2011
20090190836Scene switching point detector, scene switching point detecting method, recording apparatus, event generator, event generating method, reproducing apparatus, and computer program - A scene switching point detector includes: a feature-information generating unit that generates feature information indicating a feature of each of target frames; a backward-similarity calculating unit that sets each of the target frames as a similarity calculation frame in order and calculates backward similarity on the basis of the feature information of the similarity calculation frame and the feature information of the target frames temporally located before the similarity calculation frame; a forward-similarity calculating unit that sets each of the target frames as a similarity calculation frame in order and calculates forward similarity on the basis of the feature information of the similarity calculation frame and the feature information of the target frames temporally located after the similarity calculation frame; and a scene switching point detector that detects the target frame forming a scene switching point on the basis of the backward similarity and the forward similarity.07-30-2009
20090190835METHOD FOR CAPTURING IMAGE TO ADD ENLARGED IMAGE OF SPECIFIC AREA TO CAPTURED IMAGE, AND IMAGING APPARATUS APPLYING THE SAME - An image capturing method and an imaging apparatus, the image capturing method including: selecting a face of a person from a captured image; enlarging the selected face; and adding the enlarged selected face to the captured image. Accordingly, it is possible for a user to simultaneously film people and their background more conveniently and economically.07-30-2009
20090123074SMOKE DETECTION METHOD BASED ON VIDEO PROCESSING - The static and dynamic characteristics of smoke are developed for extracting smoke pixels of an image and effective smoke detection. In static characteristic, a chromaticity-based analysis is employed to extract grayish pixels in the moving region from a monitored area. Then, a circumference-based disorder measurement in dynamic characteristic is developed to obtain the smoke pixels from the grayish pixels. To enhance the reliability of alarming, a fuzzy system is introduced to judge if the smoke will spread out by checking its growth-rate.05-14-2009
20100158380METHOD, SYSTEM AND APPARATUS FOR MEDIA CUSTOMIZATION - A method for customizing media is provided. The method comprises obtaining an image including at least one image of a portion of a person. The method further comprises extracting the at least one image of a portion of a person from the image based on object finding and generating customized media including the at least one image of a portion of a person extracted from the scene image. An amusement park attraction is also disclosed.06-24-2010
20100119154IMAGE PROCESSING METHOD AND SYSTEM FOR MICROFLUIDIC DEVICES - A method for processing an image of a microfluidic device. The method includes receiving a first image of a microfluidic device. The first image corresponds to a first state. Additionally, the method includes receiving a second image of the microfluidic device. The second image corresponds to a second state. Moreover, the method includes transforming the first image and the second image into a third coordinate space. Also, the method includes obtaining a third image based on at least information associated with the transformed first image and the transformed second image, and processing the third image to obtain information associated with the first state and the second state.05-13-2010
20100074529Image recognition apparatus - An image recognition apparatus includes an objective image data acquisition unit to acquire objective image data containing a face image portion, a feature area detection unit to detect an eye area corresponding to left and right eyes contained in the objective image data, an inclination estimation unit to estimate inclination of the face image portion in a depth direction thereof based on the relative position of the detected eye area, an area-to-be-extracted determination unit to determine a shape of an area to be extracted in response to the inclination estimated by the inclination estimation unit, and an area-to-be-extracted extraction unit to extract the area to be extracted of the shape determined from the objective image data. Preferably, the area to be extracted is subjected to predetermined processing.03-25-2010
20100074528COHERENT PHRASE MODEL FOR EFFICIENT IMAGE NEAR-DUPLICATE RETRIEVAL - A coherent phrase model for near-duplicate image retrieval enforces coherency across multiple descriptors for every local region. Two types of visual phrase (FCP and SCP) are employed to represent feature and spatial coherency and can be utilized without increasing the computational complexity. The FCP utilizes the information of different features by enforcing the feature coherency across multiple types of descriptors for every local region, and the SCP utilizes spatial information by enforcing the spatial coherency across the spatial neighborhoods of different sizes around every local region. Moreover, the disclosed model improves the matching accuracy by reducing the number of false matches and preserves the matching efficiency because of the sparsity of the representation.03-25-2010
20130077866OBJECT DETECTION METADATA - A perimeter around a detected object in a frame of image data can be generated in a first coordinate system. The perimeter can be converted from the first coordinate system into a second coordinate system having the same aspect ratio as the first coordinate system. A first metadata entry can include dimensions of image data in the second coordinate system. A second metadata entry can provide a location and dimensions of the converted perimeter in the second coordinate space. Additional metadata can indicate matching objects between frames, position of an object relative to other objects in a frame, a probability that an object is correctly detected, and a total number of objects detected across multiple frames of image data.03-28-2013
20130034304DIGITAL PATHOLOGY SYSTEM WITH LOW-LATENCY ANALYTICS - Methods and systems for digital pathology with low-latency analytics include determining potential regions of interest within an image in accordance with one or more high-priority analyses, dividing the potential regions of interest into a plurality of sub-sections optimized for parallel computation, analyzing the sub-sections using one or more execution nodes, each including one or more processors, using a copy of the image stored in a shared memory according to the one or more high-priority analyses, and storing an intermediate analysis result based on analysis results from the one or more execution nodes in a shared memory.02-07-2013
20100046839IMAGE DETECTION DEVICE AND IMAGE DETECTION METHOD - The present invention provides an image detection device and an image detection method for efficiently detecting a specific image area existing within an image. The image detection device of the present invention first changes a size of an original image using an initial value of a scaling factor (enlargement/reduction ratio) against the original image and detects the specific image (e.g. number plate). Next, the image detection device carries out the change of the original image size and the detection of the specific image repeatedly by changing the scaling factor. Further, an embodiment of the present invention realizes a high speed by repeating the detection while using the enlarged or reduced images, and also realizes the high speed by determining an area where another specific image cannot exist and carrying out the detection efficiently using this information.02-25-2010
20120207394MULTI-STAGE IMAGE PATTERN RECOGNIZER - An image-based pattern recognizer and a method and apparatus for making such a pattern recognizer are disclosed. By employing positional coding, the meaning of any feature present in an image can be defined implicitly in space. The pattern recognizer can be a neural network including a plurality of stages of observers. The observers are configured to cooperate to identify the presence of features in the input image and to recognize a pattern in the input image based on the features. Each of the observers includes a plurality of neurons. The input image includes a plurality of units, and each of the observers is configured to generate a separate output set that includes zero or more coordinates of such units.08-16-2012
20130039579IMAGE PROCESSING APPARATUS, METHOD OF PROCESSING IMAGE, AND COMPUTER-READABLE STORAGE MEDIUM - A method of processing an image involves detecting a face from a first image; determining a composition of the first image; selecting a composition of a second image according to the composition of the first image; and generating the second image including the face by trimming the first image, according to the composition of the second image.02-14-2013
20130156320METHOD, APPARATUS AND SYSTEM FOR DETERMINING A SALIENCY MAP FOR AN INPUT IMAGE - A method of determining a saliency map (e.g., 06-20-2013
20100104191DATA ANALYSIS PROCESS - An imaging or data processing method using statistical analysis to determine features of interest in an image or data set. Particular implementations of the imaging or data processing methods relate to refining the results of an image processing method using iterative examination of posterior probabilities or external feedback.04-29-2010
20100104192CHARACTER RECOGNITION PROCESSING METHOD AND APPARATUS - This method includes: extracting a feature vector for an input character from a reading result of the input character; calculating distances between the feature vector for the input character and vectors including average vectors stored in a system dictionary storing, for each character, the average vector and distribution information, and feature vectors stored in a user dictionary; extracting the top N character codes in an ascending order of the calculated distances; obtaining second distribution information for the character codes, which are included the user dictionary and in the top N character codes; calculating, for each of the top N character codes, a second distance with the feature vector for the input character, by using, for the character codes, which are included in the user dictionary and in the top N character codes, the second distribution information; and identifying a character code whose second distance is shortest.04-29-2010
20100104190METHOD FOR MAKING MOSAICS - The method optimises the process of making mosaics, in terms of the quality and similarity of the image that is produced, making it possible to work manually, semi-automatically or fully automatically with optimum results. This is achieved by analysing each of the pieces that make up the tesserae according to a large number of parameters, including the existence of marks and their position in the pieces, and assigning a storage location to each of them. Computer software is used to divide the image to be depicted into graphic units, the characteristics of which are also analysed, comparing them with the available pieces and assigning the most similar piece thereto according to the available pieces and within a tolerance range. The final appearance of the mosaic is then displayed, it being possible to make changes to the assignation of pieces manually if necessary. Said software then assigns the exact position of each piece in the mosaic to be formed, based on the storage position of said pieces. The pieces are then glued in place by any conventional means.04-29-2010
20120213443MAP GENERATING AND UPDATING METHOD FOR MOBILE ROBOT POSITION RECOGNITION - The present invention relates to a map generating and updating method for mobile robot position recognition, and more specifically relates to a map generating and updating method for mobile robot position recognition, whereby position recognition error can be minimised by registering landmarks extracted during map generation and landmarks extracted on the basis of the probable error in inferred landmarks, calculating the accuracy of landmarks pre-registered during map generation, and adjusting the level of landmarks of low accuracy or removing landmarks which have been registered erroneously.08-23-2012
20130044955IMAGE PROCESSING APPARATUS, IMAGE PROCESSING METHOD, AND COMPUTER PROGRAM - There is provided an image processing apparatus including an image input unit that inputs an image, a high bandpass filter that extracts a high-band component of the input image, a high-band small amplitude extracting unit that extracts a small amplitude component from the extracted high-band component, a high-band small amplitude adjusting unit that adjust an extracted high-band small amplitude component, an intermediate bandpass filter that extracts an intermediate-band component of the input image, an intermediate-band large amplitude extracting unit that extracts a large amplitude component from the extracted intermediate component, an intermediate-band large amplitude adjusting unit that adjusts an extracted intermediate-band large amplitude component, and an adding unit that adds the adjusted high-band small amplitude component and the adjusted intermediate-band large amplitude component to the input image.02-21-2013
20130084012METHODS, APPARATUSES, AND COMPUTER PROGRAM PRODUCTS FOR RESTRICTING OVERLAY OF AN AUGMENTATION - Methods and apparatuses are provided for restricting overlay of an augmentation. A method may include evaluating a feature space representation of an image for presence of a predefined feature pattern. The method may further include recognizing, based at least in part on the evaluating, that the predefined feature pattern is present in the feature space representation of the image. The method may additionally include, in response to recognizing that the predefined feature pattern is present in the feature space representation of the image, restricting overlay of an augmentation on a portion of the image corresponding to the recognized predefined feature pattern. Corresponding apparatuses are also provided.04-04-2013
20100329567APPARATUS, METHOD AND SYSTEM FOR DOCUMENT CONVERSTION, APPARATUSES FOR DOCUMENT PROCESSING AND INFORMATION PROCESSING, AND STORAGE MEDIA THAT STORE PROGRAMS FOR REALIZING THE APPARATUSES - An apparatus for document conversion that are capable of facilitating conversion of document image data to an electronic document having table of contents data even with a limited storage resource. The document image analysis section 12-30-2010
20100067801Network Surveillance System - A method for estimating the activity topology of a set of sensed data windows is described. Each of the sensed data windows related to a corresponding sensed region. The method includes the steps of determining a subset of sensed data windows that are not connected; and excluding the subset of sensed data windows from the set of sensed data windows. In one embodiment, the sensed data windows corresponding to image windows such as would be provided by a visual surveillance system.03-18-2010
20130089260Systems, Methods, and Software Implementing Affine-Invariant Feature Detection Implementing Iterative Searching of an Affine Space - Feature-matching methods for attempting to match visual features in one image with visual features in another image. Feature-matching methods disclosed progressively sample the affine spaces of the images for visual features, starting with a course sampling and iteratively increasing the density of sampling. Once a predetermined threshold number of unambiguous matches has been satisfied, the iterative sampling and matching can be stopped. The iterative sampling and matching methodology is especially, but not exclusively, suited for use in fully affine invariant feature matching applicants and can be particularly computationally efficient for comparing images that have large differences in observational parameters, such as scale, tilt, object-plane rotation, and image-plane rotation. The feature-matching methods disclosed can be useful in object/scene recognition applications. The disclosed methods can be implemented in software and various object/scene recognition systems.04-11-2013
20090324084Evaluating soiling of a media item - A method and apparatus for evaluating a soiling level of a media item, such as a banknote. The method comprises receiving an image of a media item including a plurality of pixels, each pixel having an associated intensity. Two sets of pixels are created, where each pixel in the first set has a higher intensity than each pixel in the second set. A representative intensity value from the first set and a representative intensity value from the second set are calculated. A soiling value from the ratio of the representative intensity value of the second set to the representative intensity value of the first set is calculated. The media item is captured if the soiling value fulfils a capture criterion.12-31-2009
20090310864IMAGE PROCESSING SYSTEM, IMAGE PROCESSING PROGRAM, AND IMAGE PROCESSING METHOD - It is determined whether a repeating pattern is present in an image (12-17-2009
20080267506INTEREST POINT DETECTION - An interest point detection technique is presented. More particularly, for each of possibly multiple image pyramid resolutions, a cornerness image is generated. One or more potential interest point locations are identified in the cornerness image. This involves finding locations associated with a pixel that exhibits a higher corner strength value than pixels in a prescribed-sized surrounding pixel neighborhood. The potential interest point locations are then clustered to identify groups that likely derive from a same 2D structure. Potential interest point locations in one or more of the identified groups are respectively combined to produce a single location that represents the combined group. The representative location of each group having one is then designated as an interest point. An optional location refinement can also be implemented.10-30-2008
20090304284NOISE ROBUST CONTRAST-ENHANCEMENT ENGINE EMPLOYING IIR FILTERS - A noise robust contrast-enhancement engine utilizes low-pass infinite-impulse-response filters for enhancing the contrast while preventing noise amplification in video/image signals.12-10-2009
20100272364IMAGE EDITING SYSTEM AND METHOD - An image editing system examines plurality of first images from a video input unit to obtain coordinates of key portion of a first image, and stores the coordinates of the key portions into a storage system. The image editing system further stores a plurality of second images, and reads the coordinates of the key portions and replaces portion of the first image corresponding to coordinates with the second image.10-28-2010
20120219223METHOD AND APPARATUS FOR ANNOTATING MULTIMEDIA DATA IN A COMPUTER-AIDED MANNER - Annotation of a sequence of digitized images in multimedia data is aided by a computer analyzing the multimedia data to identify one or more objects and assigning each object to a respective role. The role assignment is determined by processing context information representing a model of the multimedia data.08-30-2012
20090041356Method and Device for Automatic Generation of Summary of a Plurality of Images - Method and device for providing a summary of a plurality of images, e.g. a video sequence. The method includes dividing the video sequence into a plurality of segments. The segments are analyzed with respect to content and a set of content descriptors are associated to the segments. Preferably, additional textual information about the segments, screenplay etc., is used to determine the content descriptors. A graph representing relations between the segments is constructed indicating relations between segments. Weights are associated to the relations so as to represent a measure of relation, e.g. a logical correlation, between segments. The weights are based on the calculated content descriptors. A relevance measure for a segment is determined based on all weights associated with relations to said segment. Finally, a summary is generated by selecting the most relevant segments. The method can create an automatic summary of a film that preserves all the logical plot of the original but is shorter in duration (e.g. 02-12-2009
20130071031IMAGE PROCESSING DEVICE, IMAGE PROCESSING METHOD, IMAGE PROCESSING PROGRAM, AND INTEGRATED CIRCUIT - The present invention provides an image processing device capable of combining a plurality of contents (e.g. videos) with a story line retained as much as possible, while reducing view's discomfort. The image processing device compares one of the contents, which contains a first partial content and a second partial content subsequent to the first partial content, with another one of the contents, which contains a plurality of consecutive partial contents, so as to detect, as a third partial content, a partial content with the highest similarity value from among the plurality of partial contents, and generates relational information by using the highest similarity value obtained by the first processing unit, the relational information being used for merging the first partial content, the second partial content and the third partial content.03-21-2013
20130058576IMAGE PROCESSOR - An image processor includes a storing unit, an image determining unit, and an output unit. The storing unit stores a selecting condition. The image determining unit determines whether the image corresponding to the set of the image data satisfies the selecting condition. The output unit outputs an image list including either one of the image that is determined to satisfy the selecting condition by the image determining unit and a resized image resized from the image that is determined to satisfy the selecting condition by the image determining unit.03-07-2013
20110058743Image Classification And Information Retrieval Over Wireless Digital Networks And The Internet - A method and system for matching an unknown facial image of an individual with an image of a celebrity using facial recognition techniques and human perception is disclosed herein. The invention provides a internet hosted system to find, compare, contrast and identify similar characteristics among two or more individuals using a digital camera, cellular telephone camera, wireless device for the purpose of returning information regarding similar faces to the user The system features classification of unknown facial images from a variety of internet accessible sources, including mobile phones, wireless camera-enabled devices, images obtained from digital cameras or scanners that are uploaded from PCs, third-party applications and databases. Once classified, the matching person's name, image and associated meta-data is sent back to the user. The method and system uses human perception techniques to weight the feature vectors.03-10-2011
20110013843System and Method for Compiling Images from a Database and Comparing the Compiled Images with Known Images - A method and system for discovering from a database an object which is confusingly similar with a known object. A database, such as the internet, is searched for objects which, when discovered, may be duplicated and stored. A determination is then made if any object from the database is confusingly similar with a known object. A computer-readable storage medium storing program for causing a processing system to perform the steps of duplicating objects from a database to produce duplicated objects; storing the duplicated produce to produce stored duplicated objects; and determining if any stored duplicated object is confusingly similar with a known object.01-20-2011
20110013842POISSON DISK SAMPLE MAPS - A map encoding module is described for creating a sample map in which sample values are placed within respective cells of an organizing grid structure, as governed, in part, by a Poisson disk distribution. The map encoding module efficiently represents the locations of the samples using respective integer values. A location determination module can determine a location of a sample value within a particular cell using a decoding algorithm. The decoding algorithm receives selection information and uses a cryptographic hashing algorithm to transform the selection information into location information which identifies the location of the sample value within the particular cell. Various graphics applications can use the map encoding module and the location determination module to reduce aliasing in displayed images.01-20-2011
20090274370COMPOSITIONAL ANALYSIS METHOD, IMAGE APPARATUS HAVING COMPOSITIONAL ANALYSIS FUNCTION, COMPOSITIONAL ANALYSIS PROGRAM, AND COMPUTER-READABLE RECORDING MEDIUM - A technology is disclosed for easily executing a compositional analysis to obtain a preferred composition. Image data is acquired, the image data is analyzed, and a plurality of composition lines expressing the feature of the image data on the composition are acquired. On the composition formed of the plurality of acquired composition lines, the ratio of lengths of two sides selected from the plurality of sides in the region partitioned by the plurality of composition lines is detected to be a specified value (for example, the golden ratio).11-05-2009
20090268965SHAPE EVALUATION METHOD, SHAPE EVALUATION DEVICE, AND 3D INSPECTION DEVICE - To appropriately evaluate a surface shape of an object to be inspected regardless of the relative positions of a light source and an image-taking device with respect to the object. When evaluating a surface shape, it includes a shape recognition step for recognizing the surface shape of the object to be evaluated, a representative point extraction step for extracting a representing point from the recognized surface shape of the object to be evaluated, a shape specifying step for specifying a shape for a predefined area around the extracted representing point, a vector defining step for defining a light source direction vector with respect to each of the representing points, a representing point select step for selecting, from among all of the representing points, only representing points for which imaginary reflection vectors corresponding to the light source direction vectors are contained within a predefined range from an imaginarily defined direction, and a highlight line creation step for creating a highlight line that is imaginarily generated on the surface of the object to be evaluated based on the highlight point group, i.e., a group of all of the selected representing points, wherein an evaluation of the surface shape of the object to be evaluated is performed based on the created highlight line.10-29-2009
20120224772Correlated Land Change System and Method - A system and method of mapping a persistent feature change of image data at a geographic location includes selecting a plurality of satellite images from a geographic location on different dates, producing a plurality of two-date satellite change images from pairs of the satellite images, comparing the plurality of satellite change images, and detecting a persistent feature change of image data in the compared satellite change images.09-06-2012
20130064454INFORMATION PROCESSING APPARATUS AND METHOD - An index detecting section detects an index in a physical space, from a captured image obtained by an imaging apparatus. An erroneous-detection prevention processing section performs erroneous-detection prevention processing, based on information relating to image coordinates of a detected index. An image output section outputs, to a display device, an image having been subjected to the erroneous-detection prevention processing. This prevents an image displayed on the display device from being mistaken for a real index when the display device is in the field of view of the imaging apparatus.03-14-2013
20130064453INTERPOLATION IMAGE GENERATION APPARATUS, RECONSTRUCTED IMAGE GENERATION APPARATUS, METHOD OF GENERATING INTERPOLATION IMAGE, AND COMPUTER-READABLE RECORDING MEDIUM STORING PROGRAM - In an interpolation image generation apparatus, an input unit acquires photographed images obtained from viewpoints and imaging setting information thereof, the EPI generation unit generates an EPI from the images, an angle estimation unit estimates an angle of a straight line to which each EPI actual pixel corresponds on the EPI, an interpolation image setting unit places an interpolation image on the EPI, a correspondence detection unit detects correspondence between an actual pixel and a pixel of the interpolation image (interpolation pixel), and the correspondence detection unit evaluates likelihood of correspondence relationship between the actual pixel and the interpolation pixel, and a pixel value addition unit adds a pixel value of the interpolation pixel on the basis of the likelihood of the correspondence relationship, thereby generating an interpolation image.03-14-2013
20130064451IMAGE CONVERSION PARAMETER CALCULATION DEVICE, IMAGE CONVERSION PARAMETER CALCULATION METHOD, AND PROGRAM - An image conversion parameter calculation device capable of accurately calculating a conversion parameter for image alignment with a processing amount that does not depend on a size of an image to be aligned is provided. Pixel selection element 03-14-2013
20130064452APPARATUS AND METHOD FOR PROCESSING IMAGE FEATURE DESCRIPTOR - An apparatus and a method for processing image feature descriptor are disclosed. The image feature descriptor processing apparatus comprises a header storing unit, a vector storing unit, a feature capture unit, a distribute unit, and a memory controller. The feature capture unit captures image feature descriptors. The distribute unit generates a header base address, a vector base address, headers, and vectors according to the image feature descriptors. The memory controller continuously writes the headers to the header storage unit according to the header base address and continuously writes the vectors to the vector storage unit according to the vector base address.03-14-2013
20090238464IMAGE PROCESSING METHOD, IMAGE PROCESSING APPARATUS, IMAGE FORMING APPARATUS AND STORAGE MEDIUM - An image processing apparatus includes: a feature point extracting section for extracting feature points (first feature points) of first document image data and feature points (second feature points) of second document image data, a features calculating section for calculating features (first features) of the first feature points and features (second features) of the second feature points, a matching process section for comparing the first features with the second features, and for extracting a plurality of first feature points and a plurality of second feature points whose features agree with each other, a coordinate transformation section for transforming a coordinate system of the second document image data into that of the first document image data based on coordinates of the first and second feature points extracted, and a logical AND operation section for extracting image data having a common format contained in the first and second document image data by performing logical AND operation of the first document image data and the second document image data subjected to the coordinate transformation. This makes it possible to precisely perform positioning of a plurality of document images containing a common part and to precisely extract an image of the common part from the plurality of document images.09-24-2009
20090238463METHOD FOR DETECTING IMAGE EDGE AND IMAGE INTERPOLATION USING THE SAME - A method for detecting an image edge is provided. Pixel data of neighbor lines of an image are read to generate a first and a second inclined edge areas between two neighbor lines. The incline edge areas are determined by detecting whether a difference of two corresponding pixel data exceeds a preset edge threshold. Then, whether there is an overlapped or nearby portion between the inclined edge areas is determined, so as to find an incline edge.09-24-2009
20090238462DETECTION OF ABANDONED AND REMOVED OBJECTS IN A VIDEO STREAM - A method for processing a time-ordered sequence of video frames. The method is implemented by execution of program code on a processor of a computer system. Each frame includes a two-dimensional array of pixels and a frame-dependent color intensity at each pixel. A current frame and at least one frame occurring prior to the current frame in the sequence are analyzed via a background subtraction on the at least one frame to determine a background image and a static region mask associated with a static region. The background subtraction determines an existence of a static object relating to the static region. A status of the static object is determined, the status being either that the static object is an abandoned object or that the static object is a removed object. The determined status is stored in a data storage medium of the computer system.09-24-2009
20130163876Methods and Apparatus for One-Dimensional Signal Extraction - Methods and apparatus are disclosed for extracting a one-dimensional digital signal from a two-dimensional digital image along a projection line. In some embodiments a repeating sequence of pixel weight templates, and a sequence of relative positions, are selected in response to the orientation of a projection line and used to compute a sequence of weighted sums. The sequence can be selected to achieve desirable properties, for example photometric accuracy, geometric accuracy, resolution, and/or noise reduction. In some embodiments registers and multiply-accumulators are arranged and controlled so as to compute the 1D signal.06-27-2013
20090232399APPARATUS AND METHOD FOR PATTERN RECOGNITION - A pattern recognition method comprises steps of inputting a pattern of a recognition object performing feature extraction from the input pattern to generate a feature vector, increasing the number of quantization in an order from quantization number 1 or quantization number 2 to calculate a quantization threshold of each of the quantization number, wherein the quantization threshold of quantization number (n+1) using a quantization threshold of quantization number n (n>=1) is calculated and a quantization function having a quantization threshold corresponding to quantization number S (S>n) is generated, quantizing each component of the feature vector of the input pattern using the quantization function to generate an input quantization feature vector having each of the quantized component, storing a dictionary feature vector of the recognition object, or a quantized dictionary feature vector in which each component of the dictionary feature vector of the pattern of a recognition object is quantized; calculating a similarity between the input quantization feature vector and the dictionary feature vector, or a similarity between the input quantization feature vector and the quantized dictionary feature vector; and recognizing the recognition object based on the similarity.09-17-2009
20090010544METHOD, APPARATUS, AND PROGRAM FOR DETECTING FACIAL CHARACTERISTIC POINTS - First, a face within an image, which is a target of detection, is detected. Detection data of the face is employed to detect eyes which are included in the face. Detection data of the eyes are employed to detect the inner and outer corners of the eyes. Detection data of the inner and outer corners of the eyes is employed to detect characteristic points of the upper and lower eyelids that represent the outline of the eyes.01-08-2009
20090010543IMAGE READING APPARATUS - An image reading apparatus includes a reading unit, a control unit, and a pattern region. The reading unit moves a linear reading range, which is provided in a main scanning direction, in a sub-scanning direction that intersects with the main scanning direction while reading an object that faces the reading range, and generates image data on the basis of a read result. The control unit controls the reading unit. The pattern region includes a predetermined pattern that defines a reference position for specifying a reading position that is read by the reading unit. The predetermined pattern has a characteristic portion that specifies a schematic position of the predetermined pattern in the sub-scanning direction. The control unit includes a first image acquisition unit, a pattern searching unit, a second image acquisition unit, a characteristic portion searching unit, a first reprocessing instruction unit, and a second reprocessing instruction unit.01-08-2009
20120114249Methods and Systems for Content Processing - Cell phones and other portable devices are equipped with a variety of technologies by which existing functionality can be improved, and new functionality can be provided. Some relate to visual search capabilities, and determining appropriate actions responsive to different image inputs. Others relate to processing of image data. Still others concern metadata generation, processing, and representation. Yet others relate to coping with fixed focus limitations of cell phone cameras, e.g., in reading digital watermark data. Still others concern user interface improvements. A great number of other features and arrangements are also detailed.05-10-2012
20120114248Hierarchical Sparse Representation For Image Retrieval - A hierarchical sparse codebook allows efficient search and comparison of images in image retrieval. The hierarchical sparse codebook includes multiple levels and allows a gradual determination/classification of an image feature of an image into one or more groups or nodes by traversing the image feature through one or more paths to the one or more groups or nodes of the codebook. The image feature is compared with a subset of nodes at each level of the codebook, thereby reducing processing time.05-10-2012
20130163877MIRROR CONTROLLER AND COMPUTER READABLE STORAGE MEDIUM - A mirror controller includes: a face position detector for, analyzing a face image of a driver, and for detecting face position information; an angle calculator for calculating an optimum angle of a mirror of a vehicle according to the face position information so that the driver looks at a predetermined region via the mirror; and a controller for controlling an angle adjuster to adjust the angle of the mirror to be the optimum angle when a driving speed detected by a speed sensor is equal to or smaller than a predetermined threshold value, or when a face direction detected by a face direction detector is different from a direction toward the mirror.06-27-2013
20130163874Determining Correspondence Between Image Regions - Determining correspondence between image regions can include: selecting first and second regions of visual content including pixels in a computer system, the first region comprising a first patch to be mapped to the second region; selecting at least two heuristics for use in mapping the first patch to the second region, the heuristics selected from the group consisting of: (i) nearby-pixel mapping evaluation; (ii) random-perturbation mapping evaluation; (iii) evaluation of multiple mapping candidates identified in an iterative search process; and (iv) enrichment to increase a collection of mapping candidates; and identifying, using the selected heuristics, at least one patch in the second region for the first patch.06-27-2013
20120269439METHODS AND APPARATUSES FOR EMBEDDED MEDIA MARKER IDENTIFICATION - Methods and apparatuses for identifying an image based on Embedded Media Marker (EMM) identification. A hierarchal comparison including a first coarse comparison and a second refining comparison is used. The first coarse comparison compares an image with an EMM to images in a database at a low resolution. The results are fed to the second refining comparison, which conducts a comparison at a higher resolution than the first coarse comparison. By utilizing this hierarchical comparison approach, it is possible to identify the image with fewer false positives.10-25-2012
20100215274REPRODUCTION APPARATUS AND REPRODUCTION METHOD - A reproduction apparatus includes an attribute information recording unit for recording image attribute information in which an attribute value representing an image attribute is set for each of image, a target image selector for selecting an image of interest from among the images, a search condition setting unit for setting, as a search condition, an attribute value related to the image of interest set in the image attribute information, a reproduction information generator for generating reproduction information by setting one of pieces of image attribute information that satisfies the search condition, a search condition selector for selecting the search condition as a reproduction search condition, and a search result reproducing unit for, when the reproduction search condition is selected by the search condition selector, reproducing a search result with respect to the image of interest by displaying, on a display unit, an image whose image attribute information is designated with the reproduction information as a reproduction object.08-26-2010
20130163875IMAGE RECOGNITION METHOD AND COMPUTER PROGRAM PRODUCT THEREOF - First, the image recognition method of the present invention transforms a first Cartesian coordinate value of a first image and a second Cartesian coordinate value of a second image in the Cartesian coordinate system into a first polar coordinate value and a second polar coordinate value in a polar coordinate system, respectively. Afterwards, the image recognition method adjusts the first image and the second image to multiple scales based on a radial coordinate of the polar coordinate system, and obtains a plurality of first local description values and a plurality of second local description values by analyzing the first interest points of the first image and the second interest points of the second image on the multiple scales, respectively. Finally, by intercomparing the first local description values and the second local description values, a matching feature between the first image and the second image is recognized.06-27-2013
20110280485PORTRAIT ILLUSTRATION CREATION SYSTEM, CHARACTER CREATION SYSTEM, AND CREATED PORTRAIT ILLUSTRATION DISPLAY SYSTEM - A portrait illustration creation system includes a basic face photo data storage unit for storing a plurality of pieces of face photo data of basic faces, a basic portrait illustration data storage unit for storing a plurality of basic portrait illustrations, and an associating information storage unit for storing information which associates the basic face photo data with the basic portrait illustration data. The system also includes an approximate basic face photo extraction unit for recognizing, from face-photo-data-to-be-illustrated which is a photo of a face-to-be-illustrated of which a portrait illustration is desired to be created, the face-to-be-illustrated; performing matching between the face-to-be-illustrated and the basic faces represented by the plurality of pieces of basic face photo data stored on the basic face photo data storage unit; and extracting the basic face photo data having a high approximation degree.11-17-2011
20080247649Methods For Silhouette Extraction - Methods are provided for determining the silhouette of an object in an image against a fairly plain background. The method performs initial processing to create small regions of pixels in the image that have the same grey level value. Modifying the grey level values in these regions by setting the grey level value equal to the number of pixels in the region and then performing a threshold operation aids in defining a coarse boundary of the object. Analyzing grey level values of pixels in the image external to the object defines the coarse boundary. Analyzing grey level values of pixels in the image internal to the object defines the silhouette. Additional processing steps in the method help to further define the silhouette. Steps of the method can be repeated to further refine the shape of the silhouette. The invention does not require the detection of edges, in fact it is considered to be independent of the original grey level values of pixels in the image being processed. Consequently, the invention is immune to the grey level values or textures of the object for which the silhouette is being determined or the background, and also immune to the camera and lighting setups. It works well for determining the silhouette even when the grey level value at an edge of the object is very close to that of the background.10-09-2008
20120288203METHOD AND DEVICE FOR ACQUIRING KEYWORDS - Locating text areas in an image and recognizing text contents in the text areas through optical character recognition, OCR; selecting a first class of pending keywords from the recognized text contents to search for webpages; extracting a second class of pending keywords from the retrieved webpages; and determining one or more keywords corresponding to the image from at least the second class of pending keywords. With the embodiment, both OCR and webpage searching can be combined so that the webpages can be retrieved based upon the first class of pending keywords recognized and selected through OCR to ensure convergence of the keywords and then the second class of pending keywords can be selected from the retrieved webpages to ensure correctness of the keywords.11-15-2012
20090022401Image Processing, Image Feature Extraction and Image Matching Apparatuses, Methods and Programs, and Image Matching System - An object of the present invention is to eliminate instability in processing results of either one of image restoration processing, image feature extraction processing, and image matching processing, which is caused depending on an image division method, to enhance identification accuracy in image matching. An image processing apparatus includes an image input section, a data processing section, and a result output section. The data processing section includes a controller, an image-dividing-method dictionary, an image division section, an image processing section and an image integration section. The image division section divides image data into a plurality of regions according to a plurality of image dividing methods set in advance in the image-dividing-method dictionary. The image processing section processes the image data divided according to the image dividing methods by the image division section and generates a plurality of restored image data. The image integration section generates integrated image data of the entire image by using the plurality of the restored image data obtained from the processing that the image division section and image processing section perform according to the plurality of the image division methods.01-22-2009
20110142346APPARATUS AND METHOD FOR BLOCKING OBJECTIONABLE MULTIMEDIA BASED ON SKIN COLOR AND FACE INFORMATION - Provided are an apparatus and method for blocking objectionable multimedia based on skin color and face information. The apparatus for blocking objectionable multimedia can block objectionable multimedia by obtaining skin color and face information from multimedia learning data and analyzing it to generate features that may express the objectionability, for example, the presence of a person, a body shape, and the degree of nudity; generating objectionability classification model through statistical analysis and machine learning on the features; and determining the objectionability of newly input multimedia based on the objectionability classification model.06-16-2011
20110142345APPARATUS AND METHOD FOR RECOGNIZING IMAGE - Provided are an apparatus and method for recognizing an image. In the apparatus and method for recognizing an image, various features can be extracted by a Haar-like filter using 106-16-2011
20090087099IMAGE PROCESSING APPARATUS, IMAGE CAPTURING APPARATUS, IMAGE PROCESSING METHOD AND RECORDING MEDIUM - Frame images captured in a continuous manner are acquired, and temporarily stored. Characteristic points of faces in the acquired frame images are extracted. A sum (expression change amount) of distances between characteristic points of the face (face parts) in a current frame and the characteristic points of a preceding frame is calculated. The target frame image in which the expression change amount is largest, and m frame images preceding and following the target frame image in which the expression change amount is largest are extracted as best image candidates. A best shot image is extracted from the best image candidates and stored in a storage medium. Thus, only an image (best shot image) which contains a face which a user wishes to record can be efficiently extracted from among images captured in a continuous manner, and stored.04-02-2009
20110293188PROCESSING IMAGE DATA - A method for processing image data comprises generating face data representing a set of detected faces from image data representing a set of images forming a library of images, using the face data to determine a sub-set of the images from the library in which at least the same person appears, and generating at least one clothing signature for the person representing clothes worn by the person in at least one of the images in the sub-set, and using the or each clothing signature, identifying further images of the person in the library.12-01-2011
20120014604Blur Estimation - A method and apparatus for removing blur in an image is disclosed. The blur in the image is caused by relative motion between the imaging device and the object being imaged. A set of differences between the pixel values in the image is calculated. The set of differences in pixel values are divided into two groups, wherein the first group of differences in pixel values corresponds to differences in pixel values due to noise, and the second group of differences in pixel values corresponds to differences in pixel values due to noise and motion. An estimate of the motion blur is determined using the second group of differences in pixel values. The estimate of the blur is then used to remove the blur from an image.01-19-2012
20110293187SYSTEM AND METHOD FOR EFFICIENT INTERPRETATION OF IMAGES IN TERMS OF OBJECTS AND THEIR PARTS - The present application is a method and system of interpreting an image by finding a configuration of multiple variables which optimizes an objective function with a factorizable upper bound, by applying an iterative algorithm that relies on efficient dynamic ordering of candidate configurations, in a priority queue, in a descending order of an upper bound score. As an example, consider a constellation model for an object. It specifies the appearance models for individual parts of objects, as well as spatial relations among these parts. These are combined into a single function whose value represents the likeness of the object in an image. To find the configuration in which the object is present in the image, we maximize this function over all candidate configurations. The purpose of the iterative algorithm mentioned above is to find such optimal configurations efficiently.12-01-2011
20100135577APPARATUS FOR PROVIDING DIGITAL CONTENTS AND METHOD THEREOF - The present invention relates to an apparatus for providing digital contents that acquires image data by photographing a user terminal intending to receive digital contents and discriminates a type of user terminal through the acquired image data. The present invention can simply and conveniently perform the process of discriminating a user terminal that is cumbersomely and complexly performed in the apparatus for providing contents according to the related art by the user that is not familiar with the use of the IT devices.06-03-2010
20080240571REAL-TIME FACE DETECTION USING TEMPORAL DIFFERENCES - An apparatus, a method, and a computer-readable medium having instructions encoded thereon that when executed cause a method to be carried out. The method includes dividing at least a portion of a picture of a video stream into parts of blocks, and processing the parts in parallel by a plurality of interconnected processors. The processing of a respective part by its respective processor includes determining block-level temporal difference features. Each processor also performs coding functions on its respective part of the picture. The method also includes block-level processing using the block-level temporal difference features to determine which blocks in the picture are likely to be that of a face, the block-level processing being at the granularity of at least a block. In one version, the processing in each processor includes edge detection and color segmentation to determine block-level edge features including block-level color-segmented edge features that are then used in the block level processing.10-02-2008
20080310727MOVING IMAGE ANALYZING APPARATUS, METHOD AND SYSTEM - The present invention provides a moving image analyzing apparatus, method and system. The moving image analyzing apparatus comprises a moving image reading means for reading a moving image, a region-of-interest extracting means for extracting a region-of-interest from each frame in the moving image, an object feature extracting means for extracting an object feature in the region-of-interest or a region adjacent to the region-of-interest, and a shot change detecting means for detecting a shot change on the basis of the color feature of image, the object feature of the region-of-interest, and the differences of the motion information among the images of each frame. By estimating the reliability of the motion information within an image, the present invention can eliminate the shot change which is incorrectly detected according to the color distribution feature and the dimensional feature of the region-of-interest, thereby improving the detection accuracy of shot change.12-18-2008
20080310728Method and system for side detection of 3D undetailed ear impressions - A method and system for side detection of an undetailed 3D ear impression is disclosed. In order to determine whether a received 3D undetailed ear impression is a left or right ear impression, a local coordinate system of the 3D undetailed ear is defined based on side independent features of the 3D undetailed ear impression. A skeleton (or center spline) of the 3D undetailed ear impression is detected, and it is determined whether the 3D undetailed ear impression is a left or right ear impression based on the skeleton and the local coordinate system.12-18-2008
20080310726FACE DETECTION METHOD AND DIGITAL CAMERA - A face detection method is provided, including: classifying into levels time-wise continuously captured images by increasing/reducing the total number of pixels; selecting sequentially and reading out image data for all of the levels using read-out units of the same size of pixels, or a smaller size of pixels, as those of the image with the smallest size of pixels; carrying out face detection processing by extracting candidate levels in which face image data is present, based on the read-out image data for each of the levels; and, when repeating the face detection processing, setting the number of candidate levels for face detection processing from the second time onward as less than the total number of levels. A digital camera incorporating the face detection method is also disclosed.12-18-2008
20080310725IMAGE PROCESSING APPARATUS AND METHOD AND PROGRAM - An image processing apparatus includes the following elements. An image storing section stores a plurality of images related to time information. A feature extracting section extracts feature amounts of each image stored in the image storing section. An image selecting section that selects at least one of images included in each overlap portion set of several or all of the images, stored in the image storing section, on the basis of the feature amounts associated with the respective images included in the overlap portion set, the overlap portion set including overlap portions of several or all of the images overlapping with respect to shooting time. A digest-image generating section generates a digest image of the images stored in the image storing section on the basis of the selected images.12-18-2008
20100080464IMAGE CONTROLLER AND IMAGE CONTROL METHOD - An image controller includes a position detection unit which detects a position of a viewer's face or eyes and an image control unit which controls an object image displayed on a screen in response to a change in the position of the face or the eyes detected by the position detection unit.04-01-2010
20080317350PATTERN RECOGNITION APPARATUS AND METHOD - A image recognition apparatus includes a face input unit, an input subspace calculation unit, a dictionary subspace calculation unit, an eigenvalue calculation unit, a diagonal matrix generation unit, a transformation matrix calculation unit, a transformation unit, a similarity degree calculation unit, a recognition unit. The recognition unit, based on a similarity degrees calculated by the similarity degree calculation unit, recognizes which of a plurality of categories each of a plurality of input patterns belongs to.12-25-2008
20100034462Automated Single Viewpoint Human Action Recognition by Matching Linked Sequences of Key Poses - An automated human action recognition system may automatically recognize one or more actions of a human from 2D input image data representing a sequential series of input images of the human performing the one or more actions. Each input image may be from an unknown viewpoint. A computer memory system may contain 2D reference image data representing a plurality of reference actions which a human may perform. The 2D reference image data may include a plurality of linked sequences of key poses, including a linked sequence of key poses for each reference action. For each reference action, each key pose within the linked sequence of key poses for the reference action may consist essentially of 2D image data that is representative of a human figure performing the reference action at a selected point during the reference action. The timing of the selected points within the linked sequence of key poses for the reference action may be based on changes in the position of the human figure during the performance of the reference action. The linked sequence of key poses for the reference action may uniquely distinguish it from the linked sequence of key poses for all of the other reference actions. A computer processing system may be configured to determine which of the reference actions best matches the 2D input image data with no knowledge of the viewpoint of the 2D input image data.02-11-2010
20100034464APPARATUS AND METHOD FOR TRACKING IMAGE - An image processing apparatus includes a classification unit configured to extract N features from an input image using pre-generated N feature extraction units and calculate confidence value which represents object-likelihood based on the extracted N features, an object detection unit configured to detect an object included in the input image based on the confidence value, a feature selection unit configured to select M feature extraction units from the N feature extraction units such that separability between the confidence value of the object and that of background thereof becomes greater than a case where the N feature extraction units are used, the M being a positive integer smaller than N, and an object tracking unit configured to extract M features from the input image and tracks the object using the M features selected by the feature selection unit.02-11-2010
20090110288DOCUMENT PROCESSING APPARATUS AND DOCUMENT PROCESSING METHOD - A document processing apparatus comprises a layout analysis module configured to analyze image data input, divide areas for each classification, and acquire coordinate information of a text area from the areas by a classification; a text area information calculation module configured to calculate position information of a partial area for each text area on the basis of the coordinate information acquired by the layout analysis module; a feature extraction module configured to extract features of the text area on the basis of the position information calculated by the text area information calculation module; an analysis executing module configured to analyze semantic information of the partial area using a plurality of kinds of analysis component modules; and a component formation module configured to select and construct one or a plurality of analysis component modules on the basis of the features of the text area extracted by the feature extraction module and permit the analysis executing module to execute analysis of the semantic information of the partial area according to the one or plurality of analysis components modules contracted.04-30-2009
20090148046ERROR PROPOGATION AND VARIABLE-BANDWIDTH MEAN SHIFT FOR FEATURE SPACE ANALYSIS - The present invention comprises using error propagation for building feature spaces with variable uncertainty and using variable-bandwidth mean shift for the analysis of such spaces, to provide peak detection and space partitioning. The invention applies these techniques to construct and analyze Hough spaces for line and geometrical shape detection, as well as to detect objects that are represented by peaks in the Hough space. This invention can be further used for background modeling by taking into account the uncertainty of the transformed image color and uncertainty of the motion flow. Furthermore, the invention can be used to segment video data in invariant spaces, by propagating the uncertainty from the original space and using the variable-bandwidth mean shift to detect peaks. The invention can be used in a variety of applications such as medical, surveillance, monitoring, automotive, augmented reality, and inspection.06-11-2009
20090141980System and Method for Reducing Motion Artifacts by Displaying Partial-Resolution Images - A method for reducing motion artifacts and the systems for implementing the same are provided. The method includes receiving a full-resolution image at a first time point; extracting a first partial-resolution image from the full-resolution image; and calculating a second partial-resolution image for a second time point after the first time point. The first and the second partial-resolution images are complementary.06-04-2009
20090110286Detection method - The invention relates to a method for the detection of a symmetrical object of a known shape, in particular of a road sign, preferably associated with a road, in an image of the environment in the range of view of an image taking device in particular arranged at a motor vehicle, in which an image is taken by means of the image taking device, at least one image region including image elements, which in each case exceeds a preset degree of symmetry, or a part thereof, is determined in the taken image or in an image generated from the taken image by image processing, a respective relevant image portion is determined with reference to the at least one image region or the part thereof for a subsequent shape recognition, and the shape recognition is carried out in each case only in the at least one relevant image portion to detect a potential image of the symmetrical object.04-30-2009
20090148045APPLYING IMAGE-BASED CONTEXTUAL ADVERTISEMENTS TO IMAGES - Systems, methods, computer-readable media, and graphical user interfaces for applying image-based contextual advertisements to images are provided. An image analyzing module and advertisement analyzing module analyze images and advertisements to identify image attributes and advertisement attributes. Upon identifying image attributes and advertisement attributes, advertisements deemed contextually relevant to an image are determined. In some embodiments, the contextually relevant advertisements are ranked. Thereafter, one or more contextually relevant advertisements are associated with the image. The one or more contextually relevant advertisements are presented based on preferences and/or features.06-11-2009
20090148047VIDEO DATA INDEXING SYSTEM, VIDEO DATA INDEXING METHOD AND PROGRAM - [Problem] To reduce omission of searched results and improve search efficiency in indexing by means of telop and another text information attached to a video.06-11-2009
20080304749IMAGE PROCESSING APPARATUS, IMAGE DISPLAY APPARATUS, IMAGING APPARATUS, METHOD FOR IMAGE PROCESSING THEREFOR, AND PROGRAM - An image processing apparatus includes the following elements. An evaluation information storage section stores a plurality of evaluation information sets for determinations as to whether an image subjected to determination is a target image. An image input section inputs an image. A face detection section detects a face included in the input image. A normalization section normalizes a face image that is an image segment including the detected face so that the face image has a predetermined resolution. A feature extraction section extracts a feature amount of the normalized face image. An attribute information generation section makes a determination on the basis of the extracted feature amount and each evaluation information set as to whether the face image is the target image associated with the evaluation information set, and generating an attribute information block related to the face included in the face image as the result of determination.12-11-2008
20100266206METHOD AND COMPUTER-READABLE RECORDING MEDIUM FOR ADJUSTING POSE AT THE TIME OF TAKING PHOTOS OF HIMSELF OR HERSELF - A method for helping a user to create digital data by informing if at least one face is fully included in a frame which is a predetermined area in a screen of a digital apparatus, includes the steps of: detecting the face and tracking the detected face during a preview state in which the face is displayed on the screen of the digital apparatus; testing whether the whole area of the detected face is placed in the frame of the screen or not; and providing feedback to the user that at least part of the whole area of the detected face is not placed in the frame of the screen until the whole area of the face is encompassed in the frame. It may help the user to take the photographs of himself or herself easily at the pose the user wants to take.10-21-2010
20100119153Shadow Remover - A method and apparatus for removing shadows from image data is provided. The apparatus includes image capture circuitry and a graphics processor. The apparatus also includes shadow remover circuitry in communication with the image capture circuitry and the graphics processor. The shadow remover circuitry includes shadow remover location circuitry configured to identify shadow image data and shadow correction circuitry configured to selectively apply a smoothing function to the shadow image data based on a value of the shadow image data. The shadow correction circuitry is configured to select between smoothed shadow image data and a value representing an average of neighboring pixel values of non-shadow image data. A display to present an output of the shadow remover circuitry is also included.05-13-2010
20110075933METHOD FOR DETERMINING FRONTAL FACE POSE - A method for determining a frontal face pose by using the symmetry of a face including detecting a face region in an image, detecting an eye region in the detected face region, normalizing the face region, analyzing the symmetry in the normalized face region, and determining whether a face pose is a frontal face pose based on an analysis of the symmetry.03-31-2011
20090310865Video Surveillance System, Annotation And De-Annotation Modules Thereof - A video surveillance system gets a first image from at least a video source, and extracts its image features. It embeds annotation information with at least the image features into the first image, and converts the embedded image into a second image without changing the image format. After having compressed and decompressed the second image, the system extracts the embedded information from the decompressed embedded stream to separate the image and the annotation information, thereby obtaining completely recovered annotation information after a recovery process and an image processing. Because the image format is not changed, the operations on the second image at the rear end of the system, such as compression and decompression, are not affected.12-17-2009
20100128987METHOD AND APPARATUS FOR ORGANIZING DIGITAL PHOTOGRAPHS - A method and system for organizing digital photographs is disclosed. A plurality of digital photographs are obtained. Each digital photograph in the plurality is analyzed to obtain metadata related to the digital photograph and/or photograph content information related to the digital photograph. The metadata and/or the photograph content information is then analyzed. The plurality of digital photographs are automatically organized into clusters. Each cluster is associated with one or more predetermined cluster parameter. Each cluster parameter is associated with a metadata item. The digital photographs are then displayed (e.g., in a web page) on a computing device in accordance with the cluster parameter(s). One or more of the digital photographs are reorganized into a different cluster each time additional metadata related to the one or more digital photographs is received.05-27-2010
20100128986IDENTIFYING PORTIONS OF AN IMAGE FOR CROPPING - Cropping images while retaining the relevant portions of the images. The images are cropped based on an orientation of the images. For the images having a portrait orientation, the images are cropped outside a region defined by a parallelogram centered along a golden section line. For the images having a landscape orientation, the images are cropped outside a region defined by a parallelogram centered along a midpoint line. In some embodiments, the images are cropped into squares for display on a mobile computing device having a 16:9 aspect ratio.05-27-2010
20090257655SYSTEM AND METHOD FOR VISUAL RECOGNITION - A method for visual recognition of an object in an electronic image includes extracting unique points of an object to be learned and/or a target object. The unique points are obtained by cross-correlating the image with a structure. Generally, the structure and/or the size of the structure may vary to detect extremum information associated with the learned object and/or target object. An icon corresponding to each of the unique points is extracted. The size of the icon corresponds to the scale of the unique point. After extraction of the various icons, an object becomes a collection of icons. Each of these icons is un-rotated and normalized or resized to a constant size so it can be compared with other icons. One of the unique properties of these icons is their stability over scale and angle. Thus, this invention allows the recognition of an image(s) or object(s) from large number of trained images or objects very quickly.10-15-2009
20100119152Automatic Determination of Exciting Segments from a Video - A method is provided to automatically determine “exciting” segments from a video. The method includes calculating image features of each frame in the video, determining a difference for each pair of adjacent frames, calculating a sum of differences for each group of frames in the video, and selecting a number of the groups with high sums as exciting segments of the video. The differences between pairs of adjacent frames are used as a criterion for measuring a degree of “excitement” for determining the highlights in the video.05-13-2010
20100119155PET IMAGE DETECTION SYSTEM AND METHOD OF CONTROLLING SAME - The image of a human is detected from within the image of a subject and the human whose image has been detected is identified. Pet information concerning the identified human is found from a personal information table indicating the correspondence between humans and the pet information that has been associated with these humans. The image of the pet in the found pet information is found from the image of the subject. Thus, rather than all animals included in the image of the subject being found, the image of the pet associated with the particular human is detected. A pet image is thus detected in comparatively simple fashion.05-13-2010
20100158378Method for image processing - The invention relates to a method for image processing. First, establish the initial image background information. And retrieve the instant image information. Then calculate the initial image background information and color intensity information of the instant image. Furthermore, adjust the instant image information. Then calculate the moving-object information. Finally, track the moving-object information. It can improve the accuracy rate of detection without the influence of erected height.06-24-2010
20090208109Object Recognition Apparatus - An object recognition apparatus that is capable of consistently recognizing the shape of an object in the periphery of a moving body using a small amount of computation even when data for an extraneous object are introduced, and of calculating the positional relationship of both objects and satisfactorily reporting the positional relationship. The object recognition apparatus for recognizing an object in the periphery of a moving object is configured as described below. The object recognition apparatus comprises object detection means (08-20-2009
20090208108NORMAL LINE INFORMATION ESTIMATION DEVICE, REGISTERED IMAGE GROUP FORMATION DEVICE AND IMAGE COLLATION DEVICE, AND NORMAL LINE INFORMATION ESTIMATION METHOD - A normal line information estimation device for estimating normal line information of an object from an image of the object. The normal line information estimation device includes an illumination direction estimation section for estimating an illumination direction with respect to the object in the image from a luminance value of the image; a normal line information estimation section for estimating the normal line information of the object in the image based on the illumination direction; and a specular reflection component estimation section for estimating a specular reflection component of the image from the normal line information of the object and the illumination direction with respect to the object. The normal line information estimation section estimates the normal line information again from the image from which a specular reflection component has been removed in the specular reflection component section.08-20-2009
20090285486Method for identifying postal mailings - A method for identifying postal mailings includes registering the mailings by means of at least one recognizable pictorial feature and at least one external information item, or both. Further, the method includes carrying out recognition of the pictorial feature to identify a mailing, and if identification is incomplete, performing identification using the external information item.11-19-2009
20090087098IMAGE PROCESSING METHOD, IMAGE PROCESSING APPARATUS, IMAGE FORMING APPARATUS, IMAGE READING APPARATUS AND MEMORY PRODUCT - In storing of a document page index of a reference image in association with each hash value calculated for each reference image by the features calculating section, a storage processing section determines whether the number of document page indexes, which have already been stored in association with each hash value, is larger than or equal to a preliminarily setup upper limit value or not. The storage processing section stores the document page index of a reference image in a hash table in association with the hash value calculated by the features calculating section when the number of document page indexes, which have already been stored, is smaller than the upper limit value, or invalidates the hash value when the number of document page indexes, which have already been stored, is larger than or equal to the upper limit value.04-02-2009
20090087097IMAGE DISPLAY DEVICE, IMAGE DISPLAY METHOD AND STORAGE MEDIUM STORING IMAGE DISPLAY PROGRAM - An image display device that includes an extraction component, a calculation component, an image processing component and a display component is provided. The extraction component extracts from photographic images a photographic image in which a face has been photographed. The calculation component calculates a position of an eye in the photographic image extracted by the extraction component. The image processing component performs image processing on the photographic image such that the position of the eye calculated by the calculation component will be at a predetermined position. The display component displays the photographic image which has been processed by the image processing component.04-02-2009
20100080465IMAGE RECOGNIZING APPARATUS, CONTROL METHOD, AND STORAGE MEDIUM - An image recognizing apparatus which makes it possible to shorten waiting time before the start of image recognition processing for recognition objects requested by clients. A registering section registers designating information designating recognition objects in image data and a recognition termination condition for terminating recognition carried out by an image recognizing section, which are transmitted from each of the clients that have requested the right of use of the image recognizing section, in association with each of the clients. A client managing section causes the image recognizing section to carry out recognition based on the registered designating information for a client apparatus given the right of use, and carries out control to change the right of use to the next client apparatus when the registered recognition termination condition is satisfied.04-01-2010
20110194772Efficient scale-space extraction and description of interest points - Method, system and computer program for efficiently extracting and describing scale-space interest points. It is designed towards low overall computational complexity. On one hand, the data acquired during extraction in the description phase is intensively re-used. On the other hand, an algorithmic optimization of the description that dramatically speeds up the process, is proposed. First, the image is filtered with triangle kernel at different scales. The triangle filtered images are reused for extraction of the keypoints dominant orientation and the computation of the DAISY-like descriptor08-11-2011
20090067725Building Shape Change Detecting Method, And Building Shape Change Detecting System - There is provided a system for detecting a shape change of a building based upon an aerial photograph taken by an airplane. The system can process the aerial photograph without waiting for the airplane to land. On the airplane (03-12-2009
20090141982INFORMATION PROCESSING APPARATUS, INFORMATION PROCESSING METHOD, COMPUTER PROGRAM, AND RECORDING MEDIUM - An information processing apparatus includes a storing unit that stores information concerning model feature points and model feature quantities at the model feature points, a first acquiring unit that acquires an input moving image, a first feature-point extracting unit that extracts input feature points for recognizing an action from the input moving image, a first feature-quantity extracting unit that extracts input feature quantities at the input feature points, a feature-quantity comparing unit that compares the input feature quantities and the model feature quantities and generates candidate corresponding feature point pairs, a posture estimating unit that removes outliers from the candidate corresponding feature point pairs, estimates postures of models on the input moving image, and obtains a recognition corresponding feature point pair group corresponding to the postures, and a recognition-result generating unit that generates a recognition result on the basis of the recognition corresponding feature point pair group.06-04-2009
20100098337Image processing apparatus, image processing method, and program - An image processing apparatus includes a first calculating unit configured to add a pixel value and an output of a filter unit, a first quantizing unit configured to quantize an output of the first calculating unit and output a quantized value serving as ΔΣ modulation data, a second calculating unit configured to calculate a difference between the output of the first calculating unit and the quantized value, thereby obtaining the quantization error, a second quantizing unit configured to quantize a portion of the quantization error and output compensating data, a third calculating unit configured to add the ΔΣ modulation data and the compensating data, thereby generating time-integration-effect-using error diffusion data, a fourth calculating unit configured to calculate a difference between the quantization error and the compensating data, the difference serving as a ΔΣ modulation error, and the filter unit configured to perform filtering in space directions.04-22-2010
20090226092OBJECT DETECTION DEVICE, AND OBJECT DETECTION DEVICE FOR ELEVATOR - In an object detecting apparatus for detecting whether or not a detection object is present in a monitoring area by comparing a present image with a background image photographed when the detection target is not present in the monitoring area, a background contour line information extracting means extracts contour line information of an article photographed in the background image. An object detecting means extracts contour line information other than the contour lines of the background image from the present image. Also, the object detecting means detects whether or not the detection object is present in the monitoring area based upon such a fact as to whether or not the contour line information can be extracted from the present image.09-10-2009
20090148048INFORMATION CLASSIFICATION DEVICE, INFORMATION CLASSIFICATION METHOD, AND INFORMATION CLASSIFICATION PROGRAM - A table record estimation device includes: a table element string extraction unit having a function of extracting text data from input data and acquiring a series of keywords as an element of a table (table data) from the extracted text data; a table element labeling unit having a function of labeling the individual keywords acquired by the table element string extraction unit for each type based on correspondence information stored in a classification rule storage unit; and a label appearance pattern estimation unit having a function of estimating a label permutation constituting one-unit record from a label string attached for the each type by the table element labeling unit and outputting the label permutation as a record estimation result.06-11-2009
20090285489Image processing apparatus, image forming apparatus, image processing system, and image processing method - A document matching process section retrieves a similar image on a basis of the result of a first comparison process for comparing features of a matching key image of first resolution that are stored in a features storage section with features of a matching reference image and the result of a second comparison process for extracting features from a matching key image of second resolution that is stored in an image data storage section and comparing the extracted features with features of the matching reference image that are stored in the features storage section. This allows accurately retrieving a matching reference image similar to the matching key image, even when the matching key image is a zoomed image, an N-up image, or an image of low resolution.11-19-2009
20090169108SYSTEM AND METHOD FOR RECOGNIZING SMILING FACES CAPTURED BY A MOBILE ELECTRONIC DEVICE - A method for recognizing smiling faces captured by a camera of a mobile electronic device is provided. The method includes capturing an actual facial image of a user using the camera, and storing the actual facial image into a memory system of the mobile electronic device. The method further includes extracting facial features of the intensity image according to a luminance of each pixel of the intensity image. Furthermore, the method includes deleting the actual facial image from the memory system in response to the determination that the intensity image does not satisfy the predetermined smiling face identifying standard.07-02-2009
20090202154Method of pore detection - The a surface of an object is illuminated in sequence with a number of light beams, each of which is nearly tangential to the surface. Images of the surface are recorded for each light beam, and the images are analyzed to identify features such as depressions in the surface.08-13-2009
20090279784PROCEDURAL AUTHORING - The claimed subject matter provides a system and/or a method that facilitates generating a model from a 3-dimensional (3D) object assembled from 2-dimensional (2D) content. A content aggregator can construct a 3D object from a collection of two or more 2D images each depicting a real entity in a physical real world, wherein the 3D object is constructed by combining the two or more 2D images based upon a respective image perspective. A 3D virtual environment can allow exploration of the 3D object. A model component can extrapolate a true 3D geometric model from the 3D object, wherein the true 3D geometric model is generated to include scaling in proportion to a size within the physical real world.11-12-2009
20090279785SYSTEM AND METHOD FOR FEATURE EMPHASIS AND DE-EMPHASIS IN IMAGE PROCESSING - A system and method for emphasizing and/or de-emphasizing features in a digital image. In an embodiment of the invention, the image is processed by a series of filters, which decompose the image into a series of sub-bands. Each sub-band is then processed by an emphasis circuit. In an embodiment of the invention, the emphasis circuit is connected to an input representing a particular sub-band. Each filter, therefore, is connected to its own respective emphasis circuit. The result is a series of emphasis circuit outputs, which are then combined. The result of the combination is the processed image, containing one or more emphasized or deemphasized features. In an alternative embodiment of the invention, the sub-bands are combined in a weighted fashion. The sum of the weighted sub-bands is then applied to a single emphasis circuit. The output of the emphasis circuit, in this embodiment, is a processed image having one or more emphasized or deemphasized features.11-12-2009
20090285488Face tracking method for electronic camera device - The present invention discloses a face tracking method for electronic camera devices. The method is applied to an electronic camera device having a face database and a face classifier, and the face database is provided for storing data such as a position, a size and a skin color prototype of a face in a previously stored preview image, and the method includes the steps of: obtaining a current preview image; determining whether or not a known face exists in the face database; defining a searching space on the current preview image; and using the face classifier to detect the searching space in the current preview image, and determining whether or not a face exists in the searching space.11-19-2009
20090285487Systems and methods for linking content to individual image features - A method, computer program, and system for linking content to individual image features are provided. A section of an image is identified. A plurality of features associated with the section of the image is determined. Each of the plurality of features corresponds to at least one position within the section of the image. Content associated with the plurality of features is retrieved from a content repository. The content is linked to the plurality of features based on at least one rule. The content is then presented.11-19-2009
20090297029Digital Image Enhancement - Methods and systems for enhancing a digital image include analyzing the digital image to determine if the digital image includes a facial component. Facial characteristics of the facial component are determined for each image that does include at least one facial component. The digital image is then modified based on the facial characteristics.12-03-2009
20090297030IMAGE PROCESSING APPARATUS, IMAGE CONVERSION METHOD, AND RECORDING MEDIUM - A labeling unit that extracts a character included in raster format image data and finds the size of the extracted character, and an approximation method determination unit that determines whether or not to use curve approximation to convert the character based on the found size, are provided. In the case where it has been determined to use curve approximation, the character is converted into a vector format by performing straight-line approximation or curve approximation on each of the various parts of the contour of the character, whereas in the case where it has been determined not to use curve approximation, the character is converted into a vector format by performing straight-line approximation and not performing curve approximation on each of the various parts of the contour of the character.12-03-2009
20090041355ELECTRONIC CAMERA AND OBJECT SCENE IMAGE REPRODUCING APPARATUS - An electronic camera is provided with: an imager, having an imaging surface for capturing an object scene, for generating an object scene image; a designator for designating a specific position within the object scene image generated by the imager; a recorder for recording, together with position information of the specific position designated by the designator, the object scene image generated by the imager; and a reproducer for reproducing the object scene image recorded by the recorder, using the position information recorded by the recorder.02-12-2009
20090003708MODIFICATION OF POST-VIEWING PARAMETERS FOR DIGITAL IMAGES USING IMAGE REGION OR FEATURE INFORMATION - A method of generating one or more new digital images using an original digitally-acquired image including a selected image feature includes identifying within a digital image acquisition device one or more groups of pixels that correspond to the selected image feature based on information from one or more preview images. A portion of the original image is selected that includes the one or more groups of pixels. The technique includes automatically generating values of pixels of one or more new images based on the selected portion in a manner which includes the selected image feature within the one or more new images.01-01-2009
20090003707IMAGE PROCESSING APPARATUS, IMAGE CAPTURING APPARATUS, IMAGE PROCESSING METHOD, AND PROGRAM - An image processing apparatus includes an image clipping unit, a feature extracting unit, a candidate identifying unit, and a detecting unit. The image clipping unit clips a window image from a predetermined position of an original image. The feature extracting unit extracts a feature value of the window image on the basis of a predetermined criterion. The candidate identifying unit determines, on the basis of the feature value, whether the window image satisfies a predetermined condition for a candidate including a detection target. The detecting unit determines whether the window image includes the detection target if the window image satisfies the predetermined condition.01-01-2009
20080240572Image Search Apparatus and Image Search Method - An image search apparatus and method is provided for searching plural images stored in storage for specific images. The apparatus includes an object setting unit that sets plural objects on a certain region of a screen of the image search apparatus, each object having at least one attribute of shape, size, color, and texture; a feature extraction unit that extracts a relative positional relationship between the plural objects and an attribute of the respective object as a feature that is used when searching for the specific images; and an image extraction unit that extracts images having the extracted feature from the plural images stored in the storage.10-02-2008
20090003709IMAGE PROCESSING APPARATUS AND METHOD, AND STORAGE MEDIUM - An image-processing apparatus for executing accurate facial expression recognition even for a subject hard to recognize a facial expression is provided. A person's face region is extracted from an image input from an image input unit. A predetermined partial region that changes between when the facial expression is in the first and second states is extracted from the extracted face region. A facial expression evaluation value is calculated using an evaluation value calculation formula. When the calculated facial expression evaluation value exceeds a threshold value, it is determined that the facial expression is in the second state. If the difference between the maximum value and the minimum value of the calculated facial expression evaluation value within a predetermined time is smaller than a predetermined value, the evaluation value calculation formula or its parameter is changed to increase the difference.01-01-2009
20080232692IMAGE PROCESSING APPARATUS AND IMAGE PROCESSING METHOD - The image processing apparatus comprises: an image correction unit which applies a correction processing to the digital image data; a subject detection unit which detects a human subject from an input image data; a skin color setting unit which sets skin color information based on the detected human subject; a skin color extraction unit which extracts pixels having a skin color similar to a skin color represented by the set skin color information from the digital image data; an area setting unit which sets mask information used to apply correction only to an area to be corrected; and an image output unit which produces output image data based on the inputted digital image data, the corrected image data and the mask information. In a case where the human subject is not detected, skin color information is set using the pre-defined skin color information.09-25-2008
20080273798Image processing device, image processing method, and program - There is provided an image processing device that includes a facial image extraction portion, a positivity computation portion, and a selected image update portion. The facial image extraction portion specifies a facial region of an imaged subject within at least one sequentially input selection-eligible image and extracts from the selection-eligible image a facial image that corresponds to the facial region. The positivity computation portion computes for the selection-eligible image, using the corresponding facial image, a positivity of the imaged subject toward a person who acquired the selection-eligible image. The selected image update portion compares the selection-eligible image for which the positivity was computed in the positivity computation portion to a selection candidate image that has the greatest positivity among selection-eligible images for the same imaged subject for which the positivities have already been computed, and makes the image with the greater positivity the new selection candidate image.11-06-2008
20080279456Scene Classification Apparatus and Scene Classification Method - The present invention is provided with: a characteristic amount obtaining section that obtains a partial characteristic amount indicating a characteristic of a partial image that constitutes a part of a classification target image; a partial evaluation section that carries out an evaluation based on the partial characteristic amount obtained by the characteristic amount obtaining section as to whether or not the partial image pertains to a specific scene; and a determining section that determines whether or not the classification target image pertains to the specific scene by using an evaluation result of the partial evaluation section for only the partial images corresponding respectively to a predetermined M number of partial areas among an N number of the partial areas (M11-13-2008
20080285855IMAGE PROCESSING APPARATUS AND IMAGE RETRIEVAL METHOD - A plurality of feature points are extracted from an inputted image, and a feature amount is computed with regard to the feature point thus extracted. A prescribed plurality of alterations, i.e., a rotation, an enlargement, or a reduction, are applied to the inputted image, a plurality of altered feature amounts are estimated with regard to the feature point, and an image is retrieved from among stored images that are stored upon a storage apparatus and that is most similar to the inputted image, in accordance with the plurality of the estimated altered feature amounts.11-20-2008
20080285854MARKER ARRANGEMENT INFORMATION MEASURING APPARATUS AND METHOD - A marker arrangement information measuring apparatus includes an image acquiring unit configured to acquire a captured image, a marker detecting unit configured to detect markers from the captured image, a marker identifying unit configured to identify the marker detected by the marker detecting unit, an arrangement information calculating unit configured to calculate arrangement information of the marker based on an identification result of the marker identifying unit, an analyzing unit configured to analyze the identification result of the marker identifying unit, and a display unit configured to display an image corresponding to an analysis result of the analyzing unit on the captured image in a combined manner, thus presenting the analysis result to a user.11-20-2008
20120294531HUMAN IMAGE RETRIEVAL SYSTEM - An image retrieval system, including: an image input section for inputting a retrieval target image; an image data base for storing image data; a retrieval section for retrieving a plurality of images similar to said retrieval target image, by using a feature amount of said retrieval target image from said image data base; a filtering processing section for carrying out filtering processing using a whole image feature amount of another feature amount different from said feature amount of said retrieval target image about said plurality of images, to obtain a filtering result; and an outputting section for outputting said filtering result.11-22-2012
20130216135VISUAL SEARCH SYSTEM ARCHITECTURES BASED ON COMPRESSED OR COMPACT DESCRIPTORS - An embodiment of a visual search system includes at least one imaging device, each imaging device operable to capture a corresponding image, a feature extraction device coupled to each imaging device, each feature extraction device operable to generate feature descriptors from the image received from the corresponding imaging device. A descriptor encoding device is coupled to each feature extraction device and operable to generate compressed feature descriptors from the received feature descriptors. An application processor is coupled to each descriptor encoding device. The application processor is operable to process the received compressed feature descriptors to generate output information as a function of the processed compressed feature descriptors.08-22-2013
20080205763Method for fitting part assemblies - Shims used to join part assemblies are automatically designed and fabricated without the need for fitting part assemblies together in order to determine the exact dimensions of voids filled by the shims. The locations of key features on part assemblies are surveyed using a merged photogrammetry and laser tracking technique that generate the dimensions of a virtual shim. The dimensions of the virtual shim are contained in a digital file that can be used to automatically fabricate the shim using automated fabrication equipment such as a CNC machining center. The automated virtual shim design may be modified to reflect the effect of part assembly fit on performance characteristics of the aircraft.08-28-2008
20100135579PROPERTY RECORD DOCUMENT DATA VERIFICATION SYSTEMS AND METHODS - A data verification system is configured to verify machine-recognized data elements acquired during a machine-implemented data acquisition process. The system includes a data verification workstation, a image server, and a data entry server. The data verification workstation is configured to obtain document images from the image server, present portions of document images to an operator, wherein the document images include text, and receive input from the operator based on the text. The input includes data elements. The data verification workstation is also configured to acquire machine-recognized data elements from the data entry server. The machine-recognized data elements were acquired from the document image during a machine-implemented data acquisition process based on the text. The data verification workstation is also configured to compare the data elements received from the operator to the machine-recognized data elements and selectively prompt the operator to re-input the data elements based on the comparison.06-03-2010
20100142821OBJECT RECOGNITION SYSTEM, OBJECT RECOGNITION METHOD AND OBJECT RECOGNITION PROGRAM - An object recognition system in which fall of the recognition rate is suppressed when an object is recognized based on an image even if there is a partial concealment and the object can be recognized even if the region of concealment is large with large calculation amount. With regard to each of a plurality of partial regions of an object image, partial recognition score of recognition object category is determined by judging whether it is a recognition object category or not. Under a condition that it is a recognition object category, total score is calculated using the total product of nonoccurrence probability of the partial recognition score, and a judgment is made that the object is not a recognition object category by that total score.06-10-2010
20090052779OBJECT RECOGNIZING APPARATUS - There is provided an object recognizing apparatus capable of recognizing a shape of an object in a stable manner with a small amount of calculation, even when data of non-target object is mixedly contained.02-26-2009
20100272366METHOD AND DEVICE OF DETECTING OBJECT IN IMAGE AND SYSTEM INCLUDING THE DEVICE - The present invention provides a method for detecting a specific object in an image to be detected, including: a feature extraction step for extracting an image feature of the image to be detected; and a detection step for detecting detection windows with various sizes of the image to be detected according to the extracted image feature by using classifiers with various sizes corresponding to at least a part of the detection windows with various sizes, so as to determine the presence and location of a specific object in the image to be detected. The invention further provides an object detection device and a system including the device. The method, device and system for detecting a specific object in an image to be detected can improve the precision and increase the speed of the object detection.10-28-2010
20090161960INFORMATION PROCESSING APPARATUS AND METHOD, AND A RECORDING MEDIUM STORING A PROGRAM FOR IMPLEMENTING THE METHOD - A photographing apparatus and method for archiving a plurality of images as a single file, and a recording medium having a computer program for executing the method. The photographing apparatus and method employ a feature subject extracting unit for determining one of the plurality of images as a main image and extracting a feature subject from the main image, an image selecting unit for selecting an image including the feature subject, and an image archiving unit for archiving the main image and the image selected by the image selecting unit.06-25-2009
20090129679IMAGE PROCESSING APPARATUS, IMAGE PROCESSING METHOD, AND COMPUTER-READABLE MEDIUM - A target region extracting unit configured to extract a target region used in acquiring feature information from each frame of a moving image includes a plurality of image analyzing units (first and second image analyzing units) configured to execute image analyzing processes in parallel for extraction of the target regions on each frame of the moving image in different manners, and an information transmission processing unit configured to execute a process of transmitting result information of the image analyzing processes among the plurality of image analyzing units.05-21-2009
20090028435CHARACTER IMAGE EXTRACTING APPARATUS AND CHARACTER IMAGE EXTRACTING METHOD - In an extracting step, the extracting portion obtains a linked component composed of a plurality of mutually linking pixels from a character string region composed of a plurality of characters, and extracts section elements from the character string region, the section elements each being surrounded by a circumscribing figure circumscribing to the linked component. In the first altering step, the first altering portion combines section elements at least having a mutually overlapping part among the extracted section elements so as to prepare a new section element. In the first selecting step, the first selecting portion determines a reference size in advance and selects section elements having a size greater than the reference size, from among the section elements altered in the first altering step.01-29-2009
20090087096BACKGROUND-FOREGROUND MODULE FOR VIDEO ANALYSIS SYSTEM - Embodiments of the present invention provide a method and a module for identifying a background of a scene depicted in an acquired stream of video frames that may be used by a video-analysis system. For each pixel or block of pixels in an acquired video frame a comparison measure is determined. The comparison measure depends on difference of color values exhibited in the acquired video frame and in a background image respectively by the pixel or block of pixels and a corresponding pixel and block of pixels in the background image. To determine the comparison measure, the resulting difference is considered in relation to a range of possible color values. If the comparison measure is above a dynamically adjusted threshold, the pixel or the block of pixels is classified as a part of the background of the scene.04-02-2009
20080317351Method for interactively segmenting structures in image data records and image processing unit for carrying out the method - In the method according to at least one embodiment of the invention, an image data record having a structure to be segmented is first of all displayed by display equipment. Using an input apparatus, a segmentation algorithm to be used is selected from a group of different segmentation algorithms, including a contour-based segmentation algorithm, a region-based segmentation algorithm and manual segmentation, based on the local image contrast in a region to be segmented in the image data record. A region to be segmented in the image data record is marked, and the structure to be segmented in the marked region is segmented using the selected segmentation algorithm, and a segmentation result of the segmentation is displayed. This procedure (selecting a segmentation algorithm/marking a region/segmenting the region/displaying) is repeated until the structure to be segmented is completely segmented in the displayed image data record and a boundary line of the structure is produced as the final segmentation result. Lastly, the final segmentation result is saved and/or displayed. Furthermore, an image processing unit is disclosed for carrying out the method of at least one embodiment.12-25-2008
20080317349MONITORING SYSTEM AND METHOD, INFORMATION PROCESSING DEVICE, AND PROGRAM - The present invention decreases the processing load of a server related to a collation processing system which is implemented by a server which performs collation processing with a registered facial image. An image acquisition section acquires the facial image of an individual who approaches a game machine as a facial image of a collation object, a local biological information DB stores a predetermined number of facial images of a collation object, a condition extraction section extracts condition information which indicates conditions to extract characteristic value of the facial image from the acquired facial image of the collation object and a stored facial image of the collation object, a comparison section compares the condition information on the acquired facial image and the condition information on the stored facial image of the collation object based on the extracted condition information, and the communication section sends the acquired facial image to the monitoring device when the condition information on the acquired facial image is better than the condition information on the stored facial image of the collation object. The present invention can be applied to monitoring systems.12-25-2008
20090141981METHOD AND APPARATUS FOR IMAGE CAPTURING - An image capturing method is provided, especially adaptable in a camera. First, a composition profile for a picture to be taken, is configured. The composition profile defines the number of objects to be included in the picture, and positions and sizes of each object. Thereafter, a sensor in the camera is enabled to receive an image, and simultaneously, it is determined whether the image satisfies the composition profile. If the image satisfies the composition profile, the image is stored to be the picture.06-04-2009
20090252418DETECTION OF EDGES IN AN IMAGE - A system locates an edge of an object in a two- or three dimensional image, in particular a medical image. Through an input (10-08-2009
20090052780METHOD AND APPARATUS FOR EXTRACTING FEATURE POINTS FROM DIGITAL IMAGE - An apparatus and method for extracting feature points from an image in a multiprocessor system having a plurality of processors, the method including: dividing an original image into a plurality of regions so as to be allocated to a plurality of processors of the multiprocessor system; performing, by the plurality of processors, blurring operations by levels; dividing the images blurred by levels into a plurality of regions to be allocated to the processors and calculating, by the plurality of processors, differences of Gaussian (DoGs); and generating feature point data according to the calculated DoGs. Because a plurality of processors performs the operations of the method, the total time to extract the feature points from the image is significantly reduced.02-26-2009
20090097757SYSTEM AND METHOD FOR TEACHING SOCIAL SKILLS, SOCIAL THINKING, AND SOCIAL AWARENESS - A system for improving social skills and feature recognition including a user interface displaying an electronic image, the image including two or more features, software for visually amplifying a first portion of the image, software for visually partitioning the image into two or more second portions, software for visually quantifying the image, and software for animating at least one of the first portion and the second portions.04-16-2009
20090097755INFORMATION PROCESSING APPARATUS, REMOTE INDICATION SYSTEM, AND COMPUTER READABLE RECORDING MEDIUM - An information processing apparatus includes an acquiring portion, a deciding portion, a controlling portion, a determining portion, and a transmitting portion. The acquiring portion acquires attribute information of an object. The deciding portion decides identification information of a user accessible to the object, based on a database associated with attribute information of each object and identification information of a user accessible to each object, and the acquired attribute information. The controlling portion decides a capture area including the object, and causes a projecting device to project a capture area. The determining portion determines whether a user of a remote terminal is accessible to the object based on identification information from the remote terminal and the decided identification information. The transmitting portion transmits a captured image of the decided capture area to the remote terminal when the user of the remote terminal is accessible to the object.04-16-2009
20090080776IMAGE DATA PROCESSING SYSTEM AND IMAGE DATA PROCESSING METHOD - An image data processing system includes an extracting unit extracting from an image signal corresponding to one image a signal corresponding to a pixel block including plural pixels in the image, a threshold calculating unit calculating a threshold for classifying the plural pixels into plural segments by linear calculation of display values of the plural pixels, a representative value calculating unit calculating plural representative values corresponding to the plural segments, a generating unit generating an arrangement pattern representing an arrangement of the representative values in the pixel block, and a transmitting unit transmitting the representative values and the arrangement pattern.03-26-2009
20090087101IMAGE PROCESSING APPARATUS AND APPARATUS FOR SEARCHING OPERATOR - An image processing apparatus includes an extraction unit configured to extract a feature amount from information recorded on a recording medium, an acquisition unit configured to acquire an identification image identifying an operator of the recording apparatus, a storage unit configured to store the feature amount and the identification image, wherein the identification image is associated with the feature amount, a search unit configured to compare a feature amount extracted from a predetermined medium by the extraction unit with the feature amount stored in the storage unit, wherein, based on a result of the comparison, the identification image associated with the stored feature amount is associated with the predetermined medium, and an output unit configured to output the identification image associated with the predetermined medium.04-02-2009
20110229040METHOD AND SYSTEM FOR CONVERTING AN IMAGE - A system and method for determining statistical data within an image having pixels with relatively higher bit depth per band and a system and method of converting a first image within the image having pixels with the relatively higher bit depth per band into a second image having a relatively lower bit depth per band. The higher bit depth per band includes greater than 8 bits per band. The method of determining statistical data for pixels of an image includes dividing the image having pixels with the higher bit depth per band into a plurality of polygonal sections, each polygonal section including substantially homogenous features; computing statistical data for pixels within each polygonal section; and storing the statistical data with the image.09-22-2011
20090097756SIMILAR IMAGE SEARCH APPARATUS AND COMPUTER READABLE MEDIUM - A similar image search apparatus includes a storage unit, a search unit, a text feature selection unit, an image feature transformation unit and a similar image search unit. The storage unit stores images and pieces of text information associated with the respective images. The search unit retrieves candidate images. Each candidate image has a similar image feature to a image feature of a key image. The text feature selection unit select a text feature of the respective candidate images which satisfies a given selecting condition. The image feature transformation unit, base on the selected text feature, transforms the image features. The similar image search unit retrieves similar images from the candidate images based on the transformed image features. The image features of the similar images are similar to the image feature of the key image.04-16-2009
20130121584System and Method for Using Contextual Features to Improve Face Recognition in Digital Images - Various embodiments of a system and methods for using contextual features to improve face recognition in digital images are described. A face recognition system may semi-automatically label faces and/or search for faces in images. Faces may be detected in the images and visual and non-visual features may be determined for each face. The determined features may be facial and/or contextual features. Features may also be determined from labels assigned to the faces. Pair-wise comparisons of the faces, using the determined features, may determine distances between pairs of faces. Some features may be used to determine the relevance of other features. Dependent on the calculated distances, similar faces may be grouped and suggested labels for faces may be provided. The system may be scalable, processing faces in groups to limit the use of system resources to a certain amount, regardless of the size of a digital image collection.05-16-2013
20090103811Document camera and its method to make an element distinguished from others on a projected image - The invention discloses a document camera and a method to make an element distinguished from others on a projected image, the method which implements on the document camera, firstly to capture an image, then to generate a cursor image and paste it onto the image according to a latest relative coordinate of a movement performed by a cursor controller, next to detect whether the cursor image is approximate to an element with a closed contour on the image, when an element with closed contour is detected, then to make the element distinguished from others on the image; eventually, to output the image with the distinguished element.04-23-2009
20090103810CONTENT GENERATION, EXTRACTION AND DISTRIBUTION OF IMAGE REGION SEGMENTS FROM VIDEO IMAGES - The present invention provides methods for extracting an image region segment from a video image, a system for extracting an image region segment, a program for extracting an image region segment, a method for distributing an extracted video image, and a method for generating content. Motion compensation data is calculated using sequential video images captured by a video camera, and the sequential video images are employed to prepare an estimation of the video camera operation. Based on the estimated camera operation, the center position (xc, yc) of an area that is aimed at in a video image is estimated under predetermined conditions (rules), an image feature is designated in the vicinity of the center position of the target area, and an image segment is specified that includes this image feature.04-23-2009
20090208110FACTORING REPEATED CONTENT WITHIN AND AMONG IMAGES - The claimed subject matter provides systems and/or methods that factor large-scale repeated content within and/or among images. The system can include devices and components that factor received or acquired images into epitomes that include all the content of the received or acquired images and transform maps that encode how to construct a facsimile or a close approximation of the image by selecting transformed regions from the epitomes. Though use of both the epitomes and the transform maps in conjunction, a facsimile or a close approximation of the input image can be reconstructed and displayed.08-20-2009
20090208111Event structure system and controlling method and medium for the same - Disclosed are an event structure system and a method and medium for controlling the event structure system. The method includes recognizing multiple-person interaction primitives, composing an event by inference based on temporal relations using the multiple-person interaction primitive, and determining a final event by either eliminating an unnecessary event from the composed event, or adding a new event in the composed event.08-20-2009
20090245647OPTICAL CHARACTER READERS FOR READING CHARACTERS PRINTED ON WIRES OR WIRE SLEEVES - A scanning system for scanning a wire to determine the characters provided on the wire.10-01-2009
20090220155IMAGE PROCESSING METHOD, PATTERN DETECTION METHOD, PATTERN RECOGNITION METHOD, AND IMAGE PROCESSING DEVICE - An image processing device clips a plurality of partial images from an image, and calculates difference values of pixel values between a target pixel and surrounding pixels surrounding the target pixel in the partial images. Then, the image processing device decides parameter values corresponding to respective surrounding pixels based on identification information that identifies the partial image from among the plurality of the partial images and the difference values, and calculates a feature amount corresponding to the target pixel using the parameter value decided. Then, the image processing device obtains a feature amount of the partial images by calculating the feature amount with the above-described steps, using each pixel in the partial images as the target pixels.09-03-2009
20090257654System and Method for Determining an Objective Measure of Human Beauty - An objective measure of human beauty is determined by a beauty quantification system. The beauty quantification system comprises a beauty quantification processor, a beauty measure datastore, a beauty score datastore, a user computing device, and a network. The beauty measure datastore comprises quantifiable measures of beauty of a body region. The beauty quantification processor comprises instructions for receiving user data indicative of physical attributes of a selected body region of the user, obtaining measures of beauty from the beauty measures datastore associated with the selected body region, evaluating the user data against the beauty measures of the selected body region, determining a user score indicative of the beauty of the selected body region of the user, storing the user score in the beauty score datastore, and comparing the user score to a score stored in the beauty score datastore. The beauty quantification processor may also suggest enhancements to one or more body regions to improve the user score. The suggested enhancements may be presented as an ordered listed organized by a relative cost benefit measure.10-15-2009
20090316992Cumulative time-resolved emission two-dimensional gel electrophoresis - A new instrumental design is provided for in-gel detection and quantification of proteins. This new platform, called Cumulative Time-resolved Emission 2-Dimensional Gel Electrophoresis, utilizes differences in fluorescent lifetime imaging to differentiate between fluorescence from specific protein labels and non-specific background fluorescence, resulting in a drastic improvement in both sensitivity and dynamic range compared to existing technology. The platform is primarily for image acquisition of two-dimensional gel electrophoresis, but is also applicable to protein detection in one-dimensional gel systems as well as proteins electroblotted to e.g. PVDF membranes. Given the increase in sensitivity of detection and dynamic range of up to 5-6 orders of magnitude compared to existing approaches, the described invention represents a technological leap in the detection of low abundance cellular proteins, which is desperately needed in the field of biomarker discovery.12-24-2009
20090116746SYSTEMS AND METHODS FOR PARALLEL PROCESSING OF DOCUMENT RECOGNITION AND CLASSIFICATION USING EXTRACTED IMAGE AND TEXT FEATURES - A method of parallel processing jobs received from a plurality of users by a document analysis system that automatically classifies documents to organize each job, automatically separates each job into its constituent electronic document and automatically separate the document into subsets of electronic pages. For each page of each subset, the method automatically extracts image features that are indicative of how the document is laid out or textually-organized. For each subset, the method automatically compares the extracted features with feature sets associated with each document category to determine a comparison score for the subset. The method then classifies the electronic document as being one of the categories of documents using the comparison score for each of the subsets and organize the job according to the categories of documents the job contains.05-07-2009
20100166316METHOD AND APPARATUS FOR PROCESSING A DIGITAL IMAGE INCLUDING A FACE DETECTION FINCTION - A digital image processing apparatus and method may detect faces from an input image, obtain face number information indicating a number of faces detected, and generate an image file including the input image together and the face number information. A number of copies of the image file to print may be automatically determined based on the face number information. A plurality of image files may also be arranged according to their respective number of detected faces.07-01-2010
20100150448METHOD OF FEATURE EXTRACTION FROM NOISY DOCUMENTS - Aspect of the exemplary embodiment relate to a method and apparatus for automatically identifying features that are suitable for use by a classifier in assigning class labels to text sequences extracted from noisy documents. The exemplary method includes receiving a dataset of text sequences, automatically identifying a set of patterns in the text sequences, and filtering the patterns to generate a set of features. The filtering includes at least one of filtering out redundant patterns and filtering out irrelevant patterns. The method further includes outputting at least some of the features in the set of features, optionally after fusing features which are determined not to affect the classifiers accuracy if they are merged.06-17-2010
20100150447DESCRIPTION BASED VIDEO SEARCHING SYSTEM AND METHOD - A method of and system for searching a video information is provided. The method includes inputting video information, acquiring a first frame of the video information, searching the first frame for a desired object, searching the first frame for a desired feature if the desired object is found in the first frame, and marking the first frame if the desired feature is found in the first frame. The method further includes acquiring, searching, and marking subsequent frames of the video information as necessary until the end of the video is reached.06-17-2010
20120033889IMAGE DETERMINATION APPARATUS, COMPUTER READABLE MEDIUM STORING PROGRAM, AND METHOD - An image determination apparatus includes a first extraction unit, a second extraction unit, a calculation unit, and a correction unit. The first extraction unit extracts a first set from an image including linear components that are line-shaped components. The first set includes a linear component extending along a first direction and a linear component extending along a second direction intersecting the first direction. The second extraction unit extracts a second set including a linear component extending along a direction different from the first and second directions. The calculation unit calculates a likelihood for the first set extracted by the first extraction unit in accordance with a relationship between linear components included in the first set. The likelihood is a likelihood of a table being formed. The correction unit corrects the likelihood calculated by the calculation unit in accordance with a relationship between the first set and the second set.02-09-2012
20100021064IMAGE PROCESSING METHOD AND APPARATUS, AND DIGITAL PHOTOGRAPHING APPARATUS USING THE SAME - An image processing method is provided. The method includes detecting a predetermined face area from an input image; converting the input image into Lab coordinates; determining whether coordinate areas having angles corresponding to an angle of the detected face area exist on a Lab color system and searching the input image for the coordinate areas according to a result of the determining; and blurring the detected face area and the found coordinate areas. An image processing apparatus and digital photographing apparatus using the method and apparatus are also provided. Accordingly, reduction of the resolution of a whole image may be prevented by processing only a face area, instead of the whole image, to result in a soft face area image quality. A deterioration in quality of portions which are not supposed to be blurred may be prevented by blurring only a skin color area of the face area.01-28-2010
20100021063Digital photo frame with automatic image recognition, display system and method thereof - A digital photo frame with automatic image recognition, a display system, and a method thereof is related to the digital photo frame including an image capturing unit, a storage unit, an image recognition unit, a comparison unit, and a display unit. First, the image capturing unit captures an image data of a object, and the storage unit stores a plurality of image data. Next, the image recognition unit recognizes a feature corresponding to the object in the captured image data, and the comparison unit searches for at least one image data having the recognized feature in the plurality of image data stored in the storage unit according to the recognized feature. Finally, the display unit displays the at least one image data obtained by searching.01-28-2010
20110129154Image Processing Apparatus, Image Processing Method, and Computer Program - The distortion correction is carried out by acquiring the calibration pattern image by an imaging device and executing calibration based on the acquired calibration pattern image. A plurality of calibration pattern images in which feature points arranged in an imaging range from which images can be picked up by the imaging device are provided at a regular interval is acquired, and a feature point group is extract from each image. The calibration is executed based on the feature point groups respectively extracted from areas with different imaging ranges.06-02-2011
20100189354Modeling images as sets of weighted features - An apparatus, method, and computer program product are provided for generating an image representation. The method includes receiving an input digital image, extracting features from the image which are representative of patches of the image, generating weighting factors for the features based on location relevance data for the image, and weighting the extracted features with the weighting factors to form a representation of the image.07-29-2010
20100189355IMAGE PROCESSING METHOD, PROGRAM, AND IMAGE PROCESSING APPARATUS - The image processing method includes: (a) detecting a face area or face areas in each of the plurality of images; (b) setting an all-face-inclusion area that includes all of the face areas detected in the operation (a) for each of the plurality of images; (c) setting a plurality of unit areas where the images are to be arranged by dividing the layout area on the basis of the number of the images and the layout area itself; (d) selecting a maximum-face-number image, which is an image that includes the maximum number of the face areas detected in the operation (a).07-29-2010
20110235918METHOD FOR AN IR-RADIATION -- BASED TEMPERATURE MEASUREMENT AND IR-RADIATION -- BASED TEMPERATURE MEASURING DEVICE - In a temperature measuring device (09-29-2011
20100220930VIDEO TEXT PROCESSING APPARATUS - Video frames that contain text areas are selected from given video frames by removing redundant frames and non-text frames, the text areas in the selected frames are located by removing false strokes, and text lines in the text areas are extracted and binarized.09-02-2010
20100220928IMAGE PROCESSING METHOD - An image processing method performed by a processor for processing a plurality of pixel values in an image data representing a two-dimensional image, the image processing method including defining a block representing a part of the two-dimensional image corresponding to a predetermined number of pixels in rows and columns, obtaining an average of a gradient of pixel value on the basis of the pixel values of adjacent pixels in the block along each of at least one of rows and at least one of columns, generating a product of the average of the gradient pixel value along each of at least one of the rows and the average of the gradient pixel value along each of at least one of the columns, and generating a double summation of the products of the gradient pixel values of each of the rows and the columns.09-02-2010
20100239172FEATURE POINT ARRANGEMENT CHECKING DEVICE, IMAGE CHECKING DEVICE, METHOD THEREFOR, AND PROGRAM - The arrangements of feature points are computed based on feature points acquired from checking target images. The feature amount having invariants as elements regarding a geometrical transformation is generated for each of the checking target images based on a computed result. And when checking whether or not the feature point arrangements of the checking target images are the same feature point arrangements by using the feature point amounts of the checking target images, at least each of the feature point arrangements that are bases for generating the feature amounts is stored, and a parameter regarding the geometrical transformation is computed based on the feature point arrangements of the checking target images. By utilizing the computed parameter regarding the geometrical transformation, whether or not the feature point arrangements of the checking target images are the same feature point arrangements is checked.09-23-2010
20100239170SYSTEM AND METHOD FOR TARGET SEPARATION OF CLOSELY SPACED TARGETS IN AUTOMATIC TARGET RECOGNITION - The Target Separation Algorithms (TSAs) are used to improve the results of Automated Target Recognition (ATR). The task of the TSAs is to separate two or more closely spaced targets in Regions of Interest (ROIs), to separate targets from objects like trees, buildings, etc., in a ROI, or to separate targets from clutter and shadows. The outputs of the TSA separations are inputs to ATR, which identify the type of target based on a template database. TSA may include eight algorithms. These algorithms may use average signal magnitude, support vector machines, rotating lines, and topological grids for target separation in ROI. TSA algorithms can be applied together or separately in different combinations depending on case complexity, required accuracy, and time of computation.09-23-2010
20110058744Image Discrimination Device and Image Attribute Discrimination Method - An image discrimination device discriminates among image attributes indicating image types. An edge calculating section calculates an edge direction in each processing unit including a predetermined number of pixels of an image. A local connectivity calculating section calculates local connectivity intensity indicating a degree of alignment with the edge direction of the surrounding processing unit in each of the processing units based on the calculated edge direction. An image attribute discrimination section discriminates among the image attributes in each attribute discrimination region including a predetermined number of processing units of the image using the local connectivity intensity of the processing unit in the attribute discrimination region.03-10-2011
20100239171IMAGE PROCESSING APPARATUS, IMAGE PROCESSING METHOD, AND PROGRAM PRODUCT - A storage unit stores therein a plurality of document data and a reoutput condition associated with any of the document data. The reoutput condition defines an output condition used when the document data is reoutput. A selection receiving unit receives selections of the document data including at least one reoutput-conditioned document data that is associated with the reoutput condition as document data to be output. A condition setting unit sets the reoutput condition associated with selected reoutput-conditioned document data as the output condition. An image output unit outputs all the document data of which the selections are received by the selection receiving unit on the output condition set by the condition setting unit.09-23-2010
20100239169System And Method For Determining The Orientation Of A Unit Dose Package - A method and system are provided for determining an orientation of a unit dose package, such as by determining whether the cavity that houses the medication is facing upwards or downwards. As a result of the determination of the orientation of the unit dose package, a method and system may also be provided for selectively picking a unit dose package, thereby enabling automated restocking of singulated unit dose packages by taking into account the orientation of the unit dose packages.09-23-2010
20090310866SUPERIMPOSITION INFORMATION PRESENTATION APPARATUS AND SUPERIMPOSITION INFORMATION PRESENTATION SYSTEM - A superimposition information presentation apparatus is presented, which is capable of superimposing information suitable to a user's preference on an image captured arbitrarily by the user and presenting the image having the superimposed information. An image obtaining unit (12-17-2009
20090169107APPARATUS AND METHOD OF RECOGNIZING IMAGE FEATURE PIXEL POINT - An apparatus and a method of recognizing image feature pixels is related to the recognizing method including receiving an image having a plurality of pixels; subsequent filtering the pixels at least once by detecting the edge pixels of objects in the received image based on pixel values of the pixels, so as to obtain a plurality of candidate pixels; and performing multiple difference of Gaussian (DOG) blurring operations on the candidate pixels to find the candidate pixels having a relative extreme value as a plurality of feature pixels. Therefore, the processing time of recognizing image feature pixels may be reduced.07-02-2009
20100119156IMAGE PROCESSING APPARATUS, IMAGE PROCESSING METHOD, IMAGE PROCESSING SYSTEM AND COMPUTER READABLE MEDIUM - An image processing apparatus includes a characteristic region detecting section that detects a characteristic region in an image, an image dividing section that divides the image into the characteristic region and a background region other than the characteristic region, and a compressing section that compresses a characteristic region image which is an image of the characteristic region and a background region image which is an image of the background region at different strengths from each other. The characteristic region detecting section detects the characteristic region in a plurality of moving-image-component images included in a moving image, the image dividing section divides each of the plurality of moving-image-component images into the characteristic region and the background region, and the compressing section compresses a characteristic region moving image including a plurality of characteristic region images and a background region moving image including a plurality of background region images at different strengths from each other.05-13-2010
20110235917DIGITAL IMAGE ANALYZING METHOD AND RELATED COMPUTER PROGRAM PRODUCT - A computer program product capable of enabling a computer to perform a digital image analyzing operation, wherein the digital image analyzing operation comprises: receiving settings of a plurality of lines corresponding to one or more image edges of a digital image; and identifying a plurality of intersections of the plurality of lines and the one or more image edges of the digital image.09-29-2011
20090074296CREATING A DOCUMENT TEMPLATE FOR CAPTURING DATA FROM A DOCUMENT IMAGE AND CAPTURING DATA FROM A DOCUMENT IMAGE - In one embodiment, there is disclosed a method 03-19-2009
20090324085OBJECT DETECTION CONTROL APPARATUS, OBJECT DETECTING SYSTEM, OBJECT DETECTION CONTROL METHOD, AND COMPUTER PROGRAM - An object detection control apparatus includes: a detection processing allocating unit that allocates object detection processing to any one of plural object detecting units that perform the detection processing on the basis of a transfer image area; a size generating unit that generates size of the transfer image area according to a detection area for the object detecting-unit to which the detection processing is allocated; and a reference-position generating unit that generates a position serving as a reference for the transfer image area using the generated size of the transfer image area and a position serving as a reference for the detection area moved by a predetermined number of pixels at a time.12-31-2009
20110026830CODEBOOK GENERATING METHOD - A codebook generating method comprises a dividing and transforming step dividing an original image into original blocks and transforming each of the original blocks into an original vector; a parameter setting step setting a distortion tolerance and a predetermined number of representative blocks; a single group setting step setting the original vectors as a group; a preliminary grouping step grouping all the original vectors in a group currently having largest distortion into two groups using a grouping algorithm, wherein the preliminary grouping step is repeated until the number of groups is equal to the predetermined number of representative blocks; and a grouping step grouping all the original vectors based on a plurality of initial centroids to obtain final centroids, and storing vectors corresponding to the final centroids in a codebook, wherein the centroids of the groups are treated as the initial centroids.02-03-2011
20110026829Image recognition apparatus with a plurality of classifiers - In an apparatus, an applying unit applies selected classifiers in sequence to an object image. A score calculating unit calculates, each time a classifier is applied to the object image, a summation of an output of an at least one classifier already applied to the object image to thereby obtain an acquisition score as the summation. The output of the at least one already applied classifier is weighed by a corresponding weight. A distribution calculating unit calculates, each time a classifier is applied to the object image, a predicted distribution of the acquisition score that would be obtained if at least one unapplied classifier in the classifiers, which has not yet been applied to the object image, were applied to the object image. A judging unit judges, based on the predicted distribution, whether to terminate an application of the at least one unapplied classifier to the object image.02-03-2011
20090324083Methods and Systems for Identifying Digital Image Characteristics - Aspects of the present invention relate to methods and systems for determining image characteristics in a digital image.12-31-2009
20100220929IMAGE PROCESSING APPARATUS, IMAGE PROCESSING METHOD, AND COMPUTER-READABLE STORAGE MEDIUM - An image processing apparatus extracts an object area (e.g., character, picture, line drawing, and table) from an input image and acquires a metadata to be associated with the object. The image processing apparatus generates a transparent graphics description for an object area having an attribute that requires generation of the transparent graphics description, and generates an electronic document while associating the transparent graphics description with the metadata. As transparent graphics description, an arbitrary shape of graphics can be used. Accordingly, the image processing apparatus can generate electronic document data suitable for a highlight expression, which is easy for users to recognize in a search operation using a keyword to search an object included in an electronic document.09-02-2010
20090110285APPARATUS AND METHOD FOR IMPROVING IMAGE RESOLUTION USING FUZZY MOTION ESTIMATION - The subject matter discloses a method and apparatus for re-sampling a sequence of images in order to improve its resolution, fill-in missing pixels, or de-interlace it. The method operates locally in the images to be processed, comparing pixel values of pixels surrounding the target pixel to pixel values of substantially the same locations in neighboring images. The comparison results in assigning a weight value for each area compared with the area containing the reviewed pixel. The pixel value of the reviewed pixel is updated as a function of multiplying pixel values of the areas by the weight assigned to each area. In another embodiment, areas within the same image are compared to areas containing the reviewed pixel. The subject matter also discloses two possible penalty functions for improving the resolution of images.04-30-2009
20090110287METHOD AND SYSTEM FOR DISPLAYING IMAGE BASED ON TEXT IN IMAGE - A method and a system for displaying an image based on texts in the image are provided. The method of the invention for displaying the image includes: a text extracting step, extracting text regions in the image to be displayed; a text occupancy amount calculating step, calculating occupancy amount of the text in said image; a comparing step, comparing the calculated occupancy amount with a predetermined threshold; a display step, displaying the image in real size of the image if said occupancy amount exceeds said predetermined threshold. It is achieved to display the image to the user in a manner of satisfying the viewing aim of the user, and unnecessary load of the computer system is avoided.04-30-2009
20110150341IMAGE PROCESSING APPARATUS AND IMAGE PROCESSING METHOD - An image processing apparatus includes a comparison unit that selects a pixel of interest in a processing image, and compare magnitudes of luminance value of the pixel of interest and luminance value of each of a plurality of neighboring pixels having a predetermined positional relationship with the pixel of interest; a calculation unit that calculates a feature amount of the pixel of interest based on the predetermined positional relationship between the pixel of interest and each of the plurality of neighboring pixels and a comparison result obtained by the comparison unit. For two neighboring pixels at positions which are point symmetrical with respect to the pixel of interest, the comparison unit sets that only one of the two neighboring pixels has the predetermined positional relationship.06-23-2011
20130136362IMAGE PROCESSING METHOD - An image processing method for processing an interleaved image is disclosed. A reference window and direction windows matched to the reference window are set with respect to known pixel rows in the interleaved image. First parameters along candidate directions of the reference window is calculated, wherein the first parameters denote pixel differences between the reference window and the direction windows. A respective first direction, among direction groups of the candidate directions and corresponding to a minimum of the first parameters, is found. First and/or second portion direction of first and second portions of the interleaved image are found among the first directions. The first and the second portions of the interleaved image are identified according to the first parameters. A center pixel of the reference window is obtained by interpolation according to the first and the second portion directions.05-30-2013
20130136363INTEGRATED IMAGE SEARCHING SYSTEM AND SERVICE METHOD THEREOF - The present disclosure relates to an image searching system and method for searching by using images of objects. Images of objects which it is desired to search are input via a PC-based terminal equipped with a webcam or a smart phone and then the input object images are analyzed using image recognition technology based on feature point extraction such that types of code contained in the object images are categorized and a decoder matching the object type is automatically driven such that the object is read, and thus a search function is provided which allows integrated recognition of all objects regardless of the type of object and which is convenient for the user.05-30-2013
20100310174EFFICIENT INCREMENTAL CODING OF PROBABILITY DISTRIBUTIONS FOR IMAGE FEATURE DESCRIPTORS - A method and device for incremental encoding of a type of a sequence is provided. A sequence of symbols is obtained where each symbol is defined within a set of symbols. The type of sequence may be, for example, an empirical probability distribution of symbols in a sequence of symbols. Each obtained symbol may be identified in the sequence. Each symbol in the sequence of symbols is then arithmetically coded using only previous occurrences of the same symbol in the sequence of symbols as a context to generate an incremental code. The incremental codes for the symbols in the set of symbols are then concatenated or combined to generate a complete code representative of the type of the sequence of symbols.12-09-2010
20100303358METHOD FOR THE AUTOMATIC ANALYSIS OF IMAGE DATA OF A STRUCTURE - A method is described for the automatic analysis of image data of a structure. in at least one embodiment, the method includes: providing image data in the form of a three-dimensional voxel array, performing segmentation of the voxel array in order to determine a voxel subset, performing feature extraction at least for particular voxels of the voxel subset in order to generate a feature map, generating a scalar difference map on the basis of the feature map, performing classification with the aid of the difference map and identifying a structural anomaly in the image data on the basis of a classification result. A method for driving an image display device, an image processing system and an imaging system are furthermore described.12-02-2010
20100303359SECURED IDENTIFICATION MEDIUM AND METHOD FOR SECURING SUCH A MEDIUM - This invention relates to a secured identification medium and a method for securing such a medium. The secured identification medium comprises an integrated circuit and, printed on one side, identification information (Ip) about the holder of the medium. It further comprises a set of characteristic attributes Att(Ipi) of the identification information, generated from a capture (Ipi) of the identification information and an extraction algorithm. The set of characteristic attributes of the printed analog image is stored in the integrated circuit and is designed to be compared, during an authentication stage, with a second set of characteristic attributes of the same printed image on the medium.12-02-2010
20110243450MATERIAL RECOGNITION FROM AN IMAGE - A method of operating a computer system to perform material recognition based on multiple features extracted from an image is described. A combination of low-level features extracted directly from the image and multiple novel mid-level features extracted from transformed versions of the image are selected and used to assign a material category to a single image. The novel mid-level features include non-reflectance based features such as the micro-texture features micro jet and micro-SIFT and the shape feature curvature, and reflectance-based features including edge slice and edge ribbon. An augmented Latent Dirichlet Allocation (LDA) model is provided as an exemplary Bayesian framework for selecting a subset of features useful for material recognition of objects in an image.10-06-2011
20110110594IMAGE PROCESSING SYSTEM, IMAGE PROCESSING APPARATUS, IMAGE PROCESSING METHOD, AND PROGRAM - An image processing system includes a storing section that stores a database in which specific pose data representing each of specific poses of a human, and effect manipulation data specifying each of manipulations applied to an image are registered in association with each other, a human region detecting section that detects a human region that is a region where a human appears in an image on which to perform image processing, a human pose recognizing section that recognizes a pose of the human in the human region detected by the human region detecting section, a matching section that finds the specific pose data matching the pose recognized by the human pose recognizing section, by referencing the database, and a manipulating section that applies a manipulation to the image on the basis of the effect manipulation data associated with the specific pose data found by the matching section.05-12-2011
20110170782IMAGE IDENTITY SCALE CALCULATION SYSTEM - This image identity scale calculation system can calculate an identity scale representing a degree of identity of two images in consideration of identification capability and robustness. An image feature comparison unit is supplied with hierarchical quantization index codes, which are encodings allowing unique specification of quantization indexes of a plurality of hierarchies calculated by hierarchical quantization for each quantization target region of the two images, and selects a quantization index set used for comparison as a comparing quantization index set based on additionally supplied information in accordance with a previously defined hierarchical quantization method. Then, the image feature comparison unit compares the hierarchical quantization index codes of the two images by using the comparing quantization index set, and calculates an identity scale of the two images.07-14-2011
20110170781COMPARISON OF VISUAL INFORMATION - A method determines similarity of objects depicted in images when the images pertain to different modalities. The method includes obtaining images that depict the objects and that pertain to the different modalities. An embedding function is applied to each of the images. The embedding function is selected from a set of two or more embedding functions, each of the embedding functions corresponding to a modality of the different modalities, the selected embedding function corresponding to the modality of the image to which it is applied. Application of the embedding function maps that image to a representation in a representation space such that when the images are mapped to the representation space, a distance between the representations of the images is indicative of a similarity of their depicted objects. The similarity of the depicted objects is determined based on the location of the corresponding representations in the representation space.07-14-2011
20110170780SCALE SPACE NORMALIZATION TECHNIQUE FOR IMPROVED FEATURE DETECTION IN UNIFORM AND NON-UNIFORM ILLUMINATION CHANGES - A normalization process is implemented at a difference of scale space to completely or substantially reduce the effect that illumination changes has on feature/keypoint detection in an image. An image may be processed by progressively blurring the image using a smoothening function to generate a smoothened scale space for the image. A difference of scale space may be generated by taking the difference between two different smoothened versions of the image. A normalized difference of scale space image may be generated by dividing the difference of scale space image by a third smoothened version of the image, where the third smoothened version of the image that is as smooth or smoother than the smoothest of the two different smoothened versions of the image. The normalized difference of scale space image may then be used to detect one or more features/keypoints for the image.07-14-2011
20110110596Methods and Systems for Identifying Text in Digital Images - Aspects of the present invention relate to systems, methods and devices for detection of text in an image using an initial text classification result and a verification process.05-12-2011
20100322519IMAGE EXTRACTION DEVICE AND IMAGE EXTRACTION METHOD - An image extraction device for extracting an image showing a document from an image of the document shot by an imaging device includes a document table on which a document is placed, a side detection unit, an opposing side estimator, and an image extraction unit. The side detection unit detects a side of the document on the document table based on the shot image of the document. The opposing side estimator estimates a position of a side opposite the side detected by the side detection unit. The image extraction unit segments the image of the document from the shot image of the document based on the side detected by the side detection unit and the opposite side estimated by the opposing side estimator.12-23-2010
20110007971METHOD FOR RECOGNIZING PATTERN, PATTERN RECOGNIZER AND COMPUTER PROGRAM - The invention relates to a pattern recognizer, which, in order to recognize the pattern fast and with lowest possible computing power, comprises a memory (01-13-2011
20090067724IMAGE MATCHING APPARATUS, IMAGE MATCHING METHOD, AND IMAGE DATA OUTPUT PROCESSING APPARATUS - In an image matching apparatus of the present invention, when a document type discrimination section that discriminates a document type determines that a target document is an N-up document on which plural document images are laid out, a resolution conversion section that converts a resolution of image data into a default resolution before features are extracted from the image data converts a resolution of image data of the target document into not the default resolution but a resolution which varies depending on the number of document images laid out on the target document and a document size of the target document. This makes it possible to determine a similarity to a reference document with high accuracy even in a case where each document image included in the target document to be matched is reduced in size from its original document image, i.e., in a case of an N-up document.03-12-2009
20110019917SYSTEM AND METHOD FOR AUTOMATING DOCUMENT SEARCH AND REPORT GENERATION - A method for processing a customer request comprises receiving a request, sending the requests to a data provider; receiving a document image from the data provider, performing pattern data extraction on the document image, and preparing a customized report. Additionally, a system for processing customer requests comprises a receiving module for receiving customer requests, a data acquisition module for receiving data from plural sources, an image distribution module for distributing data to appropriate entities, a pattern data extraction module for performing pattern detection and extraction, and a data output module for formatting data.01-27-2011
20130148893IMAGE PROCESSING METHOD - An image-processing method comprising convolving a selected feature of interest (FOI) within the image with a mask of a first size, repeating the convolution with a mask of a second size, and calculating the ratio of the convolution responses, as an indication of the size of the FOI. Preferably the convolution masks are Laplacian of Gaussian. The method can be useful for prioritising potential targets in a field of view for presentation to an operator.06-13-2013
20110033115METHOD OF DETECTING FEATURE IMAGES - A feature image detecting method of detecting a feature image and presenting a detection result, including: storing a correction case example with respect to the feature image in a database; detecting whether or not the feature image is contained in an inputted video to be examined; if the feature image is contained, retrieving the database by using a reason of the feature of the detected feature image as a key, and obtaining a correction case example; applying the correction case example to a feature portion of the image and creating a correction proposal, and outputting the reason of the feature, the feature portion, and the correction proposal of the detected feature image for the purpose of correction of the feature image.02-10-2011
20110019918PATTERN MATCHING SYSTEM, PATTERN MATCHING METHOD, AND PATTERN MATCHING PROGRAM - A problem to be solved is to provide a pattern matching system and the like which can match patterns including time change with high accuracy and safety. The problem can be solved by a pattern matching system which includes a template storage unit, a feature extraction unit, and a matching unit. The template pattern stores a template pattern. The feature extraction unit extracts features of an input pattern. The matching unit performs a first matching in which a first feature not changing with time among the features of the input pattern is matched with the template pattern and performs a second matching other than the first matching, in which a second feature changing with time among the features of the input pattern is matched with the template pattern.01-27-2011
20090034847Image processing apparatus, image processing system, image processing method, and image forming apparatus - In a card serving as an external storage device to be inserted into a digital color multi-function printer, features of a reference image and processing rule information indicating processing content to be applied to input image data judged to be similar to the reference image are prestored. Then, in cases where the input image data is judged to be similar to the reference image, the content of a process to be performed on the input image data is controlled in accordance with the processing rule information corresponding to the reference image. This makes it possible to save users the trouble of setting the content of a process to be performed on input image data, and to prevent a shortage of memory capacity of a memory of the image processing apparatus even in cases where there is an increase in the number of reference images.02-05-2009
20110033112METHOD AND APPARATUS FOR SELECTIVE DISQUALIFICATION OF DIGITAL IMAGES - An unsatisfactory scene is disqualified as an image acquisition control for a camera. An image is acquired. One or more eye regions are determined. The eye regions are analyzed to determine whether they are blinking, and if so, then the scene is disqualified as a candidate for a processed, permanent image while the eye is completing the blinking.02-10-2011
20110033114IMAGE PROCESSING APPARATUS AND COMPUTER READABLE MEDIUM - An image processing apparatus includes: a document accepting section that accepts a document having pieces of character information and character images in mixture; a character information extracting section that extracts the pieces of character information from the accepted document; a character image extracting section that extracts the character images from the accepted document; recognizing the character images; a character recognition control section that performs a control so as to cause the character recognition section to recognize an extracted character image by using pieces of character information that are located in the vicinity of said extracted character image; and a document shaping section that shapes the document on the basis of the extracted pieces of character information and character recognition results of the character recognition section.02-10-2011
20110033113ELECTRONIC APPARATUS AND IMAGE DATA DISPLAY METHOD - According to one embodiment, an electronic apparatus includes an indexing module, a frame image extraction module, and a display controller. The indexing module is configured to create index information for moving image data. The frame image extraction module is configured to extract an image of a frame satisfying a predetermined extraction condition from the moving image data based on the index information. The display controller is configured to display the extracted image based on a predetermined display condition.02-10-2011
20110044545SYSTEMS AND METHODS TO INCREASE SPEED OF OBJECT DETECTION IN A DIGITAL IMAGE - Systems and methods are disclosed that determine a largest patch size to traverse a digital image, analyze the digital image to detect one or more first objects of a size approximately the same as the largest patch size, and discontinue analyzing the digital image when the digital image includes the first object(s) of a size approximately the same as the largest patch size. The patch size is decremented to progressively smaller patch sizes if the first object(s) of a size approximately the same as the largest patch size is not detected and the digital image is further analyzed to detect one or more first objects of a size approximately the same as the smaller patch size until the first object(s) are detected or the patch size is decremented below a predetermined smallest size.02-24-2011
20110044543FEATURE EXTRACTION METHOD, AND IMAGE RECOGNITION METHOD AND FEATURE DATABASE CREATION METHOD USING THE SAME - A feature extraction method includes: the step of grouping a cluster of features, in which an internal of the respective features is less than or equal to a predetermined grouping interval, to form a feature group, for a plurality of features of which feature information including at least information of a position and a feature type is included in a predetermined feature information storage unit; the step of excluding the feature, not suitable for use in an image recognition process of the feature with respect to image information, from the cluster of the features within the feature group; and the step of extracting a part or all of one or more of the features within the feature group remaining as a result of the exclusion step as a target feature suitable for the use in the image recognition process.02-24-2011
20090016609Method for detection and recognition of fog presence within an aircraft compartment using video images - Detecting video phenomena, such as fire in an aircraft cargo bay, includes receiving a plurality of video images from a plurality of sources, compensating the images to provide enhanced images, extracting features from the enhanced images, and combining the features from the plurality of sources to detect the video phenomena. Extracting features may include determining an energy indicator for each of a subset of the plurality of frames. Detecting video phenomena may also include comparing energy indicators for each of the subset of the plurality of frames to a reference frame. The reference frame corresponds to a video frame taken when no fire is present, video frame immediately preceding each of the subset of the plurality of frames, or a video frame immediately preceding a frame that is immediately preceding each of the subset of the plurality of frames. Image-based and non-image based techniques are described herein in connection with fire detection and/or verification and other applications.01-15-2009
20100150449DYNAMIC TRANSRATING BASED ON OPTICAL CHARACTER RECOGNITION ANALYSIS OF MULTIMEDIA CONTENT - Exemplary techniques for modifying multimedia data based on content are disclosed. One technique comprises determining whether a first portion of multimedia content of multimedia data has a first content characteristic and performing one or more content actions associated with the first content characteristic when the first portion of the multimedia content is determined to have the first content characteristic, wherein the one or more content actions modify a first portion of the multimedia data associated with the first portion of the multimedia content.06-17-2010
20090214119IMAGE PROCESSING APPARATUS AND IMAGE PROCESSING METHOD - An image processing apparatus has an extraction unit configured to extract a thin line with a width of equal to or less than a predetermined value from rendering data, and an end point processing unit configured to displace, with respect to a portion that satisfies a predetermined condition in the thin line, at least one of end points of the portion within a predetermined range.08-27-2009
20090214118TARGET SPECIFIC IMAGE SCALING FOR EFFECTIVE RAPID SERIAL VISUAL PRESENTATION - A system and method of efficiently and effectively triaging an image that may include one or more target entities are provided. A target entity to be searched for in the image is specified. The image, or at least a selected portion of the image, is then divided into a plurality of individual image chips each having a chip size based on the specified target entity. Each image chip is then successively displayed for a presentation time period.08-27-2009
20110085733DEFINING IMAGE FEATURES AND USING FEATURES TO MONITOR IMAGE TRANSFORMATIONS - For monitoring an image transformation such as aspect ratio conversion, an image feature is defined by identifying a position in the image having a local spatial maximum value and then identifying four other positions in the image having local spatial minimum values such that the four minimum value positions surround the position of the maximum, a first pair of the minimums lie on a first line passing through maximum and a second pair of the minimums lie on a second line passing through the maximum.04-14-2011
20110243452ELECTRONIC APPARATUS, IMAGE PROCESSING METHOD, AND PROGRAM - An electronic apparatus includes a storage, a controller, and an output unit. The storage stores images classified into groups, event feature information items indicating features of objects peculiar to each event, and rule information items indicating rules for selecting a representative image representing an event expressed by the images for each group and are different for each event and for each person related to the event. The controller extracts meta information items from the images for each group based on the event feature information items, analyzes superordinate meta information from the extracted meta information items to derive what event is expressed and to whom the event is related in the images, and selects the representative image that represents the derived event from the images based on the rule information item corresponding to the derived event. The output unit outputs a thumbnail image of the selected representative image for each group.10-06-2011
20110243451IMAGE PROCESSING APPARATUS AND METHOD, AND PROGRAM - An image processing apparatus includes a reference background storage unit for storing a reference background image, an estimating unit for detecting an object from an input image and estimating the rough position and shape of the detected object, a background difference image generation unit for generating a background difference image including a difference value between the input image and the reference background image, a calculation unit for calculating a relationship equation of pixel values between pixels corresponding to the background difference image excluding a region of the object estimated by the estimating means and the reference background image, a conversion unit for converting the pixel values of the reference background image based on the relationship equation and generating a pixel value conversion background image, and a background image update unit for performing replacement by the pixel value conversion background image and updating the reference background image.10-06-2011
20110243449METHOD AND APPARATUS FOR OBJECT IDENTIFICATION WITHIN A MEDIA FILE USING DEVICE IDENTIFICATION - A method, apparatus, and computer program product are therefore provided for identifying a person or people in a media file by using object recognition and near-field communication to detect nearby devices that may be associated with a person or people featured in the media file. Associating a nearby device with a person or people featured in a media file may add to the confidence level with which a person is identified within a media file using object recognition, which may include facial recognition and/or speaker recognition.10-06-2011
20100135578CHARACTER LINE RECOGNITION METHOD AND CHARACTER LINE RECOGNITION DEVICE - A character line recognition method for processing image data obtained by scanning a character line on a medium to recognize the character line may include processing the image data into monochrome binary format image data by using a predetermined binarization standard threshold; extracting character features from each character that composes the character line to calculate similarity with respect to standard character features; temporarily determining characters based on the similarity; calculating basic statistics of the similarity for all the characters which have been temporarily determined; and changing the binarization standard threshold based on the basic statistics and then returning to the processing the image data.06-03-2010
20110142347PROCESSING TIME-BASED GEOSPATIAL DATA - A method for processing geospatial datasets corresponding to geospatial objects, the method having the steps of extracting geospatial attributes from the geospatial datasets, locating extracted geospatial attributes corresponding to a particular geospatial object at a particular point in time, and generating output indicative of the particular geospatial object at the particular point in time utilizing the located geospatial attributes.06-16-2011
20110123117Searching and Extracting Digital Images From Digital Video Files - An object depicted with a video file may be located in a search process. The located object may then be extracted from the digital video file. The extracted depiction may then be modified independently of the video file.05-26-2011
20100034465METHOD AND APPARATUS FOR CALCULATING PIXEL FEATURES OF IMAGE DATA - A feature extracting apparatus includes a pixel feature calculator that calculates a pixel feature for each pixel of image data; an area setting unit configured to set a plurality of areas in the image data; a coordinate mapping unit configured to map a first coordinate in one of the plurality of areas onto a second coordinate in at least one of the other plurality of areas; and a co-occurrence matrix calculator configured to calculate a co-occurrence matrix for each of the plurality of areas, the co-occurrence matrix being frequency of combinations of the pixel features at the first coordinate and the pixel feature at the second coordinates.02-11-2010
20100054604IMAGE PROCESSING APPARATUS AND PROGRAM RECORDING MEDIUM - An image processing apparatus configured to perform face detection on an image signal of an image to be processed, includes a target region setting unit configured to set a target region of a face detection process in the image to be processed, and a characteristic extraction unit configured to extract a characteristic of the image signal of the target region set by the target region setting unit. The image processing apparatus further includes a tone conversion unit configured to perform tone conversion on the image signal of the target region set by the target region setting unit according to the characteristic extracted by the characteristic extraction unit, and a face detection unit configured to detect a face region based on the image signal tone-converted by the tone conversion unit.03-04-2010
20100246967IMAGE PROCESSING DEVICE, IMAGING DEVICE, EVALUATION DEVICE, IMAGE PROCESSING METHOD, AND OPTICAL SYSTEM EVALUATION METHOD - An image processing device that can highly precisely correct an image with a degraded image quality due to the unnecessary diffracted light generated in the optical system including the diffractive optical element is provided. The image processing device includes an evaluation area setting unit (09-30-2010
20100246968IMAGE CAPTURING APPARATUS, IMAGE PROCESSING METHOD AND RECORDING MEDIUM - An image capturing apparatus 09-30-2010
20110150342IDENTIFICATION FEATURE - An identification feature for identifying an object comprises at least two identification elements, wherein at least a first identification element thereof is formed by at least one defined, delimited surface with a defined diffractive surface structure that can be recognized through light irradiation in the visual range, and at least one second identification element is provided within an optical detection field, said second identification element at least partially detecting the defined, delimited surface of the first identification element. In a method for identifying the object, the position at which the at least one second identification element is located relative to the at least one first identification element is stored in memory. Further, identification information unique to the at least one second identification element is stored in memory. A depiction of the first identification element is compared to the stored data for the purposes of identification.06-23-2011
20110075934TECHNIQUES FOR ENABLING OR ESTABLISHING THE USE OF FACE RECOGNITION ALGORITHMS - Embodiments described herein facilitate or enhance the implementation of image recognition processes which can perform recognition on images to identify objects and/or faces by class or by people.03-31-2011
20110075932IMAGE PROCESSING METHOD AND IMAGE PROCESSING APPARATUS FOR EXTRACTING HEADING REGION FROM IMAGE OF DOCUMENT - An image processing apparatus analyzes an image of a document to thereby extract a heading region from the image. The image processing apparatus detects candidates for the heading region from the image, and defines a predetermined range in the image as a range to be processed. The apparatus further groups the candidates in the range to be processed, based on a feature quantity corresponding to a feature in terms of style of a character string. The apparatus selects a representative group from the resultant groups, and divides the range to be processed, at the position of a candidate belonging to the representative group. The apparatus newly defines each of the portions generated by the division as a range to be processed.03-31-2011
20110249899RECOGNITION DEVICE, RECOGNITION METHOD, AND PROGRAM - A recognition device includes storage unit that stores information of a cluster to which a model feature point belongs; extracting unit that extracts a feature amount of a query feature point; generating unit that determines a first set of the query feature point including a reference point and a dependent point, and generates geometric information; clustering unit that clusters the query feature point; correcting unit that sets up the model feature point as a nearest candidate of the reference point, sets up the model feature point as a nearest candidate of the dependent point, determines whether or not the nearest candidate of the reference point is present, and corrects the model feature point; and similarity degree calculating unit that calculates a similarity degree of the first set and a second set and determines the second set nearest to the first set.10-13-2011
20110075930METHOD FOR COMPARING PHOTOGRAPHER AESTHETIC QUALITY - A method for comparing a plurality of photographers by assessing the aesthetic quality of a set of digital images captured by each photographer comprising: providing a set of digital images captured by each of a plurality of photographers; using a processor to determine an aesthetic quality parameter for each digital image in each of the sets of digital images, wherein the aesthetic quality parameter is an estimate for the aesthetic quality of the digital image; determining an aesthetic quality distribution for each photographer responsive to the aesthetic quality parameters computed for each of the digital images in the photographer's set of digital images; and providing a comparison between the aesthetic quality distributions of the photographers.03-31-2011
20110069886NOISE SUPPRESSION METHOD FOR DIGITAL IMAGE - A noise suppression method for a digital image is described, which utilizes an adjacent area of a target pixel in the digital image to conduct a denoising process on the target pixel. The noise suppression method includes the following steps. A feature-weighted processing procedure is performed on each original pixel in the digital image to convert the original pixel into a feature-weighted pixel. According to a position of the target pixel in the digital image, a reference pixel is selected from a corresponding position in the feature-weighted image. Similarities of the reference pixel relative to the other feature-weighted pixels are respectively computed. Through the computed similarities, a feature-weighted pixel for compensation is selected from the feature-weighted pixels other than the reference pixel. Finally, noise suppression is performed on the reference pixel by using the feature-weighted pixel for compensation.03-24-2011
20110069888Image processing apparatus and method - An image processing apparatus is provided. A silhouette extractor may extract a silhouette image of a target object from an input depth image. A first calculator may determine a location of at least one limb of the target object and a location of at least one joint connecting the at least one limb by applying a rectangle fitting algorithm with respect to the silhouette image.03-24-2011
20110069887ALGORITHM FOR DETECTING CONTOUR POINTS IN AN IMAGE - A method for detecting contour points of an object in an image obtained by a video camera comprising the steps of: (i) selecting a scan line of the image; (ii) identifying minimum intensity differences called transitions between pixels of the selected scan line; (iii) identifying plateaus at both ends of the identified transitions; (iv) determining contour points of the object between the identified plateaus; (v) generating a descriptor of the contour in one dimension; and (vi) beginning again with step (i) by selecting another scan line of the image according to a predefined order.03-24-2011
20110150338Method and system for generating intrinsic images using single reflectance technique - In a first exemplary embodiment of the present invention, an automated, computerized method is provided for processing an image. According to a feature of the present invention, the method comprises the steps of providing an image file depicting an image, in a computer memory, identifying a dominant region of single reflectance in the image and segregating the image into intrinsic images as a function of the dominant region of single reflectance.06-23-2011
20110150340INFORMATION PROCESSING DEVICE, METHOD, AND PROGRAM - An information processing device includes: an extracting unit configured to extract a face from an image; a grouping unit configured to classify the image extracted by the extracting unit into a group; an adding unit configured to add to a group generated by the grouping unit a tag indicating relationship between persons within the group; a closeness calculating unit configured to calculate the closeness of the person of the face from distance between groups generated by the grouping unit; and a person correlation data generating unit configured to generate person correlation data including at least the tag and the closeness.06-23-2011
20110150339APPARATUS, METHOD, AND PROGRAM FOR IMAGE PROCESSING - An image processing apparatus includes a face image detector detecting a face image from an image, a reference mask generator generating a reference mask based on the arrangement of parts included in the face image detected by the face image detector, a face color area detector detecting a face color area from the image, and a face image searcher searching for the face image using the reference mask in the face area detected by the face color area detector.06-23-2011
20110150337METHOD AND SYSTEM FOR AUTOMATIC FIGURE SEGMENTATION - A method for achieving segmentation of a picture according to one aspect of the present invention comprises: determining a first foreground of a picture based on a predetermined mask; applying Gaussian Mixture Models with weighted data (GMM-WD) to the first foreground to generate a second foreground; determining a first background of the picture based on the second foreground; applying the GMM-WD to the first background to generate a second background; and determining an unknown region based on the second background and the second foreground.06-23-2011
20110255787PORTABLE ELECTRONIC DEVICE - A portable electronic device includes a main body, an image capturing module, a facial recognition module, a fortune telling database, a fortune calculating module, and a display screen. The image capturing module is mounted on the main body and is configured for capturing a portrait image of a user. The facial recognition module is configured for extracting facial features from the portrait image. The fortune telling database is for storing fortune telling data. The fortune calculating module is configured for analyzing the extracted facial features using a predetermined algorithm and searching the fortune telling database according to the analyzed result, thereby retrieving a fortune data the associated with the extracted facial features from fortune telling database. The display screen is for displaying the fortune data.10-20-2011
20100303357DETERMINING A REGIONAL SHOT-CHANGE PARAMETER - To determine a regional shot-change parameter for an image identified as a whole as a shot change image, a difference is taken between each pixel in that image and a spatially equivalent pixel in an adjacent image in the sequence. A pixel is flagged as a shot-change pixel when the difference for that pixel and around three of the spatially adjacent pixels exceed a threshold. If a pixel is spatially isolated from other shot-change pixels, it is not regarded as a shot-change pixel.12-02-2010
20100278432METHOD AND DEVICE FOR DETERMINING IMAGE QUALITY - In a method and a device for determining an image quality of an image sequence comprising several images, the images are reconstructed from a data stream encoded by a predictive encoding process, and a respective flicker indicator is determined for an image range of the respective images of the image sequence, wherein the respective flicker indicator displays by two states whether flickering occurs or not in the image range of the respective image, an overall flicker indicator being generated such that the overall flicker indicator corresponds to that number of flicker indicators which display flickering, and the image quality being generated by division of the overall flicker indicator by a number of specific flicker indicators.11-04-2010
20100278431Systems And Methods For Detecting A Tilt Angle From A Depth Image - A depth image of a scene may be received, observed, or captured by a device. A human target in the depth image may then be scanned for one or more body parts such as shoulders, hips, knees, or the like. A tilt angle may then be calculated based on the body parts. For example, a first portion of pixels associated with an upper body part such as the shoulders and a second portion of pixels associated with a lower body part such as a midpoint between the hips and knees may be selected. The tilt angle may then be calculated using the first and second portions of pixels.11-04-2010
20120033888IMAGE PROCESSING SYSTEM, IMAGE PROCESSING METHOD, AND COMPUTER READABLE MEDIUM - Provided is an image processing system for correcting an optical response of an image capturing optical system with low cost. The image processing system includes: a feature value extracting section that extracts feature values from each of images captured in different positions of a plurality of captured images captured by an image capturing apparatus; and an image processing section that, based on feature values extracted by the feature value extracting section, generates a corrected image in which difference in optical response for each image region caused by an image capturing optical system, from the captured image captured by the image capturing apparatus or other captured images.02-09-2012
20100034463IMAGE PROCESSING DEVICE AND RECORDING MEDIUM - The interval designation section 02-11-2010
20090022400IMAGE EXTRACTING APPARATUS, COMPUTER PROGRAM PRODUCT, AND IMAGE EXTRACTING METHOD - Provided are a scene-transition-image extraction unit that extracts a scene transition image from a sequence of successive images using a predetermined extraction condition, a display unit that displays a near image of the scene transition image, an operation history acquiring unit that acquires image information of an image, for which a predetermined viewing operation is performed, among the near image(s) and history information of the operation, an extraction condition changing unit that changes the extraction condition using the image information and the history information of the operation acquired by the operation history acquiring unit. The scene-transition-image extraction unit re-extracts a scene transition image using the extraction condition changed by the extraction condition changing unit.01-22-2009
20110211760Image Capture and Identification System and Process - A digital image of the object is captured and the object is recognized from plurality of objects in a database. An information address corresponding to the object is then used to access information and initiate communication pertinent to the object.09-01-2011
20110255786METHOD AND APPARATUS FOR DETERMINING FLICKER IN THE ILLUMINATION OF A SUBJECT - A first image frame and a second image frame of an image are captured. A third image frame is formed from at least a portion of the first image frame and a corresponding portion of the second image frame. The third image frame is formed such that the effect of the subject or content of the image is reduced or negated in the third image frame relative to the level of flicker. A flicker pattern is detected using the third image frame. Various techniques are described to capture the second image frame, and for determining the flicker pattern from the third image frame. The flicker pattern may be used to avoid or remove flicker from one or more images, or to correct a captured image.10-20-2011
20090185745Electronic Apparatus and Image Display Method - According to one embodiment, an electronic apparatus comprises an image extraction module, an image list display process module, and a playback module. The image extraction module extracts a plurality of representative images from a sequence of video content data, and outputs time stamp information which is indicative of a time point at which each of the plurality of extracted representative images appears in the video content data. The image list display process module displays, on a display area, a list of representative images appearing in a period from a start position to a predetermined display constraining position of the sequence of the video content data among the plurality of extracted representative images, and constrains the display of the representative images appearing after the display constraining position among the plurality of representative images. The playback module plays back the video content data in response to input of a playback request event.07-23-2009
20080304750PATTERN FEATURE EXTRACTION METHOD AND DEVICE FOR THE SAME - An input pattern feature amount is decomposed into element vectors. For each of the feature vectors, a discriminant matrix obtained by discriminant analysis is prepared in advance. Each of the feature vectors is projected into a discriminant space defined by the discriminant matrix and the dimensions are compressed. According to the feature vector obtained, projection is performed again by the discriminant matrix to calculate the feature vector, thereby suppressing reduction of the feature amount effective for the discrimination and performing effective feature extraction.12-11-2008
20090097754VIDEO COMMUNICATION DEVICE AND IMAGE PROCESSING SYSTEM AND METHOD OF THE SAME - A video communication device includes an image capturing module for capturing a video image, and an image processing system. The image processing system includes a face detection module, and a processing module. The face detection module detects a face region and a head region corresponding to the face region in the video image. The processing module generates a processed video image by masking all areas of the video image except the head region, and outputs the processed video image.04-16-2009
20080212878Multiple image processing and synthesis using background image extraction - A technique of efficiently extracting and synthesizing an object image from a plurality of images captured at different image magnifications. An image processing method of the present invention includes the steps of generating a first background image corresponding to a first image captured at a predetermined image magnification, extracting a first object image from the first image, generating a second background image corresponding to a second image captured at an image magnification higher than the predetermined image magnification, based on the first background image and the first object image, and extracting a second object image from the second image and the second background image.09-04-2008
20080267507Information processing apparatus and method - An information processing apparatus detects, from time-sequential information continuously supplied for a given period of time, associated information regarding a time at which a piece of information satisfying a predetermined condition is supplied within the given period of time. A dividing section divides the time-sequential information into a plurality of temporally successive information units at predetermined time intervals. A feature value detecting section temporally successively detects feature values of the plurality of temporally successive information units. A change-information detecting section stores the temporally successively detected feature values for a predetermined period of time, and detects a plurality of temporally successive pieces of feature-value-change information on the basis of the stored feature values and a currently detected feature value. The change-information detecting section outputs the plurality of temporally successive pieces of feature-value-change information in sequence to output time-sequential associated information as the associated information.10-30-2008
20110255790SYSTEMS AND METHODS FOR AUTOMATICALLY GROUPING ELECTRONIC DOCUMENT PAGES - A method of grouping electronic document pages of a job that belong together is provided. The method includes: automatically analyzing images and text features extracted from each received electronic document page to associate the electronic document page with a corresponding document category; automatically identifying features extracted from the electronic document page that potentially indicate to which document group the electronic document page belongs; comparing the identified features with a set of group identifying features associated with corresponding document group, in which the set of group identifying features includes at least a set of page numbers and account numbers; and, if the identified features are found to include a set of a page number and an account number belonging to the set of group identifying features associated with the corresponding document group, grouping the electronic document page into the corresponding document group.10-20-2011
20110255788SYSTEMS AND METHODS FOR AUTOMATICALLY EXTRACTING DATA FROM ELECTRONIC DOCUMENTS USING EXTERNAL DATA - In a document analysis system that receives and processes jobs from a plurality of users, in which each job may contain multiple electronic documents, to extract data from the electronic documents, a method of automatically extracting data from each received electronic document at least in part using data external to the electronic document but associated with the job containing the document is provided. The method includes: analyzing each electronic document in a job to automatically extract images and text features; and, if any of the images and text features extracted from the electronic document is not recognized, using data external to said document but associated with said job to identify the unrecognized feature, wherein the external source may be one of at least one other document in the job and a database having known values associated with the job.10-20-2011
20080253660IMAGE PROCESSING APPARATUS AND METHOD FOR CONTROLLING THE SAME - A position and an area of a region to be processed, that is, a region from which image feature parameters are to be extracted, are obtained, and the number of pixels required for obtaining the usable image feature parameters is determined in accordance with types of the image feature parameters to be extracted. Then, a required resolution is calculated in accordance with the determined number of pixels and the area of the region to be processed, an image having a minimum resolution which is equal to or higher than the required resolution and which is usable to extract the usable image feature parameters is selected, and the image feature parameters are extracted from a region to be processed in the selected image.10-16-2008
20120201462JOINT IMAGE COMPRESSION METHOD AND APPARATUS - A joint image compression system (08-09-2012
20080240573Feature information collecting apparatus and feature information collecting method - Feature information collecting apparatuses, methods, and programs acquire vehicle position information that represents the current position of a vehicle, acquire image information for a vicinity of the vehicle, and carry out image recognition processing on recognition target objects that are included in the image information. The apparatuses, methods, and programs store recognition information in a memory that represents a result of the image recognition of the recognition target objects in association with information for the recognition position of the recognition target objects, the recognition position determined based on the vehicle position information. The apparatuses, methods, and programs extract, as learned features, recognition target objects that can be repeatedly recognized by image recognition based on a plurality of sets of recognition information related to the same position, the plurality of sets of recognition information being stored due to the image information for the same position being recognized a plurality of times by image recognition.10-02-2008
20080205764Information processing apparatus, method, and program - An information processing apparatus that compares an input image with a model image to identify the subject of the input image with the subject of the model image. The apparatus includes feature value extraction means for setting feature points, each of which is on an edge of the model image and provided to extract a model image feature value, which is the feature value of the model image, and extracting the model image feature value from each of a plurality of feature value extraction areas in the neighborhood of each of the feature points, and matching means for checking if an input image feature value, which is the feature value of the input image, at the point that is on an edge of the input image and corresponds to the feature point matches any of the plurality of model image feature values at the feature point.08-28-2008
20100246966PATTERN RECOGNITION DEVICE, PATTERN RECOGNITION METHOD AND COMPUTER PROGRAM PRODUCT - A pattern recognition device includes a feature vector calculator; a model selecting unit; a correction vector calculator; a feature vector correcting unit; and a pattern recognition unit. The correction vector calculator calculates, for each of the selection models, a modified directional vector having N dimensional components (N≧1). A value of the n-th dimensional component (N≧n≧1) of the modified directional vector is obtained by subtracting a value of the n-th dimensional component of the variance vector multiplied by a predetermined coefficient from an absolute value of the n-th component of a different vector between the average vector and feature vectors to obtain a first value, and then multiplying the first value by a plus or minus sign identical to a sign of the n-th dimensional component of the difference vector, and further calculate a correction vector with respect to a vector obtained by superimposing the modified directional vectors.09-30-2010
20100284618METHOD AND SYSTEM FOR IDENTIFYING AN OBJECT - A method for identifying an object is provided. The method includes acquiring image data, and separating a sheet object from a bulk object within the acquired image data by using a top hat algorithm. Information relating to at least one of the sheet object and the bulk object is outputted.11-11-2010
20100284619FACE DETECTION APPARATUS AND FACE DETECTION METHOD - A face detection apparatus and a face detection method thereof are provided. The face detection apparatus includes a rectangle integral image unit, a feature mapping unit and a cascade and score unit. The rectangle integral image unit provides a rectangle integral image according to an original image. The feature mapping unit determines a face candidate region according to rectangular face feature templates, and calculates feature values of the rectangular face feature templates according to the rectangle integral image. The cascade and score unit judges whether the face candidate region conforms to cascade conditions or not, and gives the face candidate region a score according to the feature values when the face candidate region conforms to the cascade conditions. The face candidate region is a non-face region if the score of the face candidate region is lower than a threshold value.11-11-2010
20110110595IMAGE CORRECTION APPARATUS AND METHOD FOR ELIMINATING LIGHTING COMPONENT - An image correction apparatus and method for eliminating a lighting component are provided. A photographed original image is divided into a plurality of block units to calculate a representative brightness value of each of the divided block units. A background image having the size of the original image is generated using the calculated brightness value and interpolation. A lighting component is extracted from the background image and a lighting component included in the original image is eliminated using the extracted lighting component.05-12-2011
20100329568Networked Face Recognition System - A networked system for face recognition, the system comprising: a face verifier, configured to verify compliance of a face in an image with at least one predefined criterion, and upon successful verification of the compliance, to forward the image for feature extraction, a feature extractor, associated with the face verifier, configured to extract a feature from the forwarded image; and a face identifier, communicating with the feature extractor over a network, configured to receive the extracted feature and identify the face in the forwarded image, using the extracted feature.12-30-2010
20100329566DEVICE AND METHOD FOR PROCESSING DIGITAL IMAGES CAPTURED BY A BINARY IMAGE SENSOR - A method for processing image data comprises determining a set of parameters based on a binary digital image) such that said set of parameters comprises information about the density of white and/or black pixels of a first group of pixels of said binary digital image), and information about the density of white and/or black pixels of a second group of pixels of said binary digital image.12-30-2010
20100329565IMAGE PROCESSING APPARATUS IMAGE PROCESSING METHOD, AND CONTROL PROGRAM TO PERFORM FACE-DETECTION PROCESSING - An image processing apparatus including a detector to detect a face in an image is provided. The image processing apparatus sets a size of the face to be detected, changes a detection condition for face detection in accordance with the size of the face set, applies the detection condition changed to the detector, and detects the face from the image by use of the detector to which the detection condition is applied.12-30-2010
20110255789SYSTEMS AND METHODS FOR AUTOMATICALLY EXTRACTING DATA FROM ELECTRONIC DOCUMENTS CONTAINING MULTIPLE LAYOUT FEATURES - A method of automatically extracting data from an electronic document containing a plurality of layout features through progressive refinement is provided. The method includes: analyzing each document to automatically extract images and text features wherein each document includes at least two features that are related to each other, and wherein said analyzing compares extracted features with a first search space of candidate features to try and recognize the extracted features; if one of the at least two related features is not recognized and at least one feature is recognized, selecting a second search space of candidate features in response thereto and in response to predefined rules about the relationship between the two features; and comparing the unrecognized feature with said selected second search space.10-20-2011
20110262041KEYPOINT DESCRIPTOR GENERATION BY COMPLEX WAVELET ANALYSIS - The present invention relates to a method of generating a keypoint descriptor for identifying an object in an image or in a sequence of images, the keypoint descriptor being substantially invariant to a transformation of the object in the image. The method includes receiving object data representing an object for identification in an image; processing said object data to generate at least one basis function representing a feature having undergone at least one transformation or a transformation sequence across several consecutive frames, optionally using transformations that are out of the image plane to recognise objects from multiple views; modifying a prototype wavelet function based on said at least one basis function to generate a plurality of modified wavelet functions; comparing the plurality of modified wavelet functions with the at least one basis function; selecting a modified wavelet function of said plurality of modified wavelet functions based on the comparison of the plurality of modified wavelet functions with the at least one basis function; and processing an input image or input orientation field according to said selected modified wavelet function to generate the keypoint descriptor. The present invention further relates to a method of identifying an object in an image using a keypoint descriptor; and apparatus and computer software for implementing a method in accordance with the present invention.10-27-2011
20100310173METHODS AND SYSTEMS FOR PROCESSING DATA USING PRODUCT-LAW SYMMETRY DETECTION - Systems and devices for processing image or other data using product-law symmetry are described. In one implementation, an image or other collection of data has a number of samples each having an associated intensity, luminance, magnitude or other value. A sub-set of the samples is selected, and a product is computed of at least a first value associated with a first sample in the sub-set and a second value associated with a second sample in the sub-set that is different from the first sample. The resulting product can be used to provide an output, such as an enhanced image or an indication that a target is present within the sub-set of samples. In image processing applications, the product may be based upon data obtained from single or multiple images to exploit target symmetry and to distribute the effects of random noise, thereby improving target identification or otherwise enhancing the image.12-09-2010
20100329563System and Method for Real-time New Event Detection on Video Streams - Techniques are disclosed for detecting new events in a video stream that yield improved detection efficiency in real time. For example, a method determines whether a given event is a new event in a video stream. The video stream includes a plurality of events. A first step extracts a first set of features (e.g., text features) from the given event. The first set of features is computationally less expensive to process as compared to a second set of features (e.g., image features) associated with the given event. A second step computes one or more first dissimilarity values between the given event and one or more previous events in the video stream using only the first set of features when one or more first dissimilarity criteria exist. A third step determines whether the given event is a new event based on the one or more computed first dissimilarity values.12-30-2010
20100329564Automatic Generation and Use of Region of Interest and Domain of Definition Functions - An automated method of generating sets of image processing instructions that identifies a region of picture elements for processing and a region of picture elements to be produced is described. The method receives a first set of image processing instructions for performing a transform operation, and, for the first set of image processing instructions, produces a second set of image processing instructions that identify a region of picture elements for processing from an input image and a third set of image processing instructions that identify a region of picture elements to be produced in an output image. The method associates the second and third sets of image processing instructions with the first set of image processing instructions, the association allowing the execution of the second and third sets of image processing instructions at run-time to facilitate the execution of the first set of image processing instructions.12-30-2010
20080219558Adaptive Scanning for Performance Enhancement in Image Detection Systems - A method and system for efficiently detecting faces within a digital image. One example method includes identifying a digital image comprised of a plurality of sub-windows and performing a first scan of the digital image using a coarse detection level to eliminate the sub-windows that have a low likelihood of representing a face. The subset of the sub-windows that were not eliminated during the first scan are then scanned a second time using a fine detection level having a higher accuracy level than the coarse detection level used during the first scan to identify sub-windows having a high likelihood of representing a face.09-11-2008
20100054605SYSTEM AND METHOD FOR CAPTURING AND PROCESSING BUSINESS DATA - A method and a system for interpreting information in a document are provided, with the system receiving an image of a document from a remote source and converting it into multiple sets of blocks of characters. Tags indicating likely meaning of blocks are assigned to them. At least some of the blocks have an associated score representing the probability that the characters in the block correctly represent the characters in the original image. The system selects one set from multiple sets based on the scores associated to certain blocks determined by accessing remote information over the Internet.03-04-2010
20110052076IMAGE PROCESSING APPARATUS AND SUBJECT DISCRIMINATION METHOD - An image processing apparatus includes an image input unit configured to input an image, a scanning unit configured to scan a detection window on the input image, a first discrimination unit configured to determine whether a pattern within the detection window is a subject based on a plurality of characteristic amounts obtained from within a first region among a plurality of regions within the detection window, and a second discrimination unit configured to determine, if it is determined that the pattern is not the subject by the first discrimination unit, whether the pattern is the subject based on a plurality of characteristic amounts obtained from a second region in which a probability that occlusion of the subject occurs is higher than that in the first region among the plurality of regions. Accordingly, a subject can be detected efficiently, and omissions of detection can be reduced.03-03-2011
20110052075REMOTE RECEIPT ANALYSIS - A computer implemented method performs remote receipt analysis. The method includes receiving an image of a receipt over a network and automatically performing optical character recognition on the image of the receipt to obtain a machine-encoded text. The method further includes automatically extracting data which includes an amount paid from the machine-encoded text and automatically generating a message based on the data and sending the message to a user device.03-03-2011
20110052074IMAGE DATABASE CREATION DEVICE, IMAGE RETRIEVAL DEVICE, IMAGE DATABASE CREATION METHOD AND IMAGE RETRIEVAL METHOD - A device includes an image receiver which receives an image and a storage controller which stores the image in association with an identifier corresponding to a feature quantity of the image by using a previously prepared relationship between a feature quantity and an identifier.03-03-2011
20110052073Landmark Identification Using Metadata - Methods, systems, and apparatus are presented for associating a point of interest with a captured image. In one aspect, metadata associated with a digital image can be accessed, the metadata identifying an image capture location. Further, a depth of field corresponding to the digital image can be determined and one or more points of interest can be identified that are located within the determined depth of field. Additionally, one of the one or more identified points of interest can be selected as an image subject and the metadata associated with the digital image can be edited to include data identifying the selected point of interest.03-03-2011
20110052072APPARATUS AND METHOD FOR CONNECTING DEVICE THROUGH IMAGE RECOGNITION IN MOBILE TERMINAL - An apparatus and a method for reading an image in a mobile terminal to establish a connection with a neighbor apparatus corresponding to the read image are provided. The apparatus includes an apparatus connector. The apparatus connector determines a neighbor apparatus to which a user desires to connect by reading a corresponding image, and establishes a connection with the determined neighbor apparatus.03-03-2011
20110096995IMAGE PROCESSING APPARATUS, IMAGE PROCESSING METHOD, AND PROGRAM - An image processing apparatus comprising: a first detection unit adapted to detect a first subject from an object image; a first extraction unit adapted to extract a first feature amount for identifying an attribute of the first subject; a second extraction unit adapted to extract a second feature amount for detecting the second subject; a first storage unit adapted to store the first feature amount; and a second storage unit adapted to store the second feature amount, wherein when the first detection unit detects the first subject, the first extraction unit extracts the first feature amount and the first storage unit stores the amount, and when the first detection unit cannot detect the first subject, the second extraction unit extracts the second feature amount and the second storage unit stores the amount.04-28-2011
20110096994Similar image retrieval system and similar image retrieval method - A similar image retrieval system stores image data of picked-up images; extracts features of the respective picked-up images to store with the image data; specifies a key image; and retrieves an image having a high similarity with the key image by evaluating similarities between the key image and the picked-up images based on a feature of the key image and those of the picked up images. The system includes: a unit for assigning a keyword to each image; a first image retrieval unit for retrieving a similar image to the key image while excluding an image with the keyword from a retrieval target; and a second image retrieval unit for retrieving a similar image to the key image while taking only an image with the keyword as a retrieval target.04-28-2011
20110052071IMAGE PROCESSING APPARATUS, IMAGE PROCESSING METHOD, AND PROGRAM - An image processing apparatus for extracting a contour of an object which extracts boundary candidate points from the image and sets reference areas each having one of boundary candidate points as a center and includes small areas. A first reference area is set from the reference areas and a first small area is set from small areas included in the first reference area. From reference areas, a second reference area is set, whose feature is similar to that of the first reference area and as a second small area, a small area is set which has a feature amount similar to that of the first small area among small areas included in the second reference area. The boundary candidate points is tracked to extract the contour of the object based on the first reference area, the second reference area, the first small area, and the second small area.03-03-2011
20110052070IMAGE PROCESSING APPARATUS, IMAGE PROCESSING METHOD AND COMPUTER READABLE-MEDIUM - There is provided an image processing apparatus. The image processing apparatus includes: an obtaining unit configured to capture an image; a specifying unit configured to specify at least one pixel on an edge of the image; a tracking unit configured to track pixels that are similar to the at least one pixel, among peripheral pixels around the at least one pixel; and an estimating unit configured to estimate, as a region of interest, a region other than a region consisting of the pixels tracked by the tracking unit.03-03-2011
20110052069Image search apparatus - An image search apparatus includes: an image feature extraction unit for extracting features of images; an image search data storage unit for storing the features of the images; a user interface unit for inputting an image search condition, and displaying a search result; and an image search execution unit for executing an image search, by using the features of the images based on the image search condition, wherein the user interface unit allows multiple key images to be inputted as the single search condition, the image search execution unit executes the search by using key images included in the single search condition, and the user interface unit displays the search result in the order of similarities to the key images.03-03-2011
20110052068IDENTIFYING ANOMALOUS OBJECT TYPES DURING CLASSIFICATION - Techniques are disclosed for identifying anomaly object types during classification of foreground objects extracted from image data. A self-organizing map and adaptive resonance theory (SOM-ART) network is used to discover object type clusters and classify objects depicted in the image data based on pixel-level micro-features that are extracted from the image data. Importantly, the discovery of the object type clusters is unsupervised, i.e., performed independent of any training data that defines particular objects, allowing a behavior-recognition system to forgo a training phase and for object classification to proceed without being constrained by specific object definitions. The SOM-ART network is adaptive and able to learn while discovering the object type clusters and classifying objects and identifying anomaly object types.03-03-2011
20110052067CLUSTERING NODES IN A SELF-ORGANIZING MAP USING AN ADAPTIVE RESONANCE THEORY NETWORK - Techniques are disclosed for discovering object type clusters using pixel-level micro-features extracted from image data. A self-organizing map and adaptive resonance theory (SOM-ART) network is used to classify objects depicted in the image data based on the pixel-level micro-features. Importantly, the discovery of the object type clusters is unsupervised, i.e., performed independent of any training data that defines particular objects, allowing a behavior-recognition system to forgo a training phase and for object classification to proceed without being constrained by specific object definitions. The SOM-ART network is adaptive and able to learn while discovering the object type clusters and classifying objects.03-03-2011
20100215273METHODS AND DEVICES FOR CHARACTERIZING POLARIZATION OF ILLUMINATION SYSTEM - In a method for evaluating the polarization state of an illumination system (08-26-2010
20100260422Image-processing method, image-processing program and image-processing device for processing time-lapse image - An image-processing method for processing a time lapse image includes acquiring a first image obtained by capturing an image of an object located within a field of view using an imaging device and a second image obtained by capturing an image of the object located within the field of view using the imaging device after a predetermined time period has elapsed, calculating a positional correction value for a positional shift between the first image and the second image, by using a correlation function weighted according to an image feature of each of the objects included in the fist image and the second image, and performing, based on the calculated positional correction value, a positional correction between the first image and the second image. The time lapse image is generated using the first image and the second image on which the positional correction has been performed.10-14-2010
20100166315METHOD AND APPARATUS FOR CREATING A PATTERN RECOGNIZER - An image-based pattern recognizer and a method and apparatus for making such a pattern recognizer are disclosed. By employing positional coding, the meaning of any feature present in an image can be defined implicitly in space. The pattern recognizer can be a neural network including a plurality of stages of observers. The observers are configured to cooperate to identify the presence of features in the input image and to recognize a pattern in the input image based on the features. Each of the observers includes a plurality of neurons. The input image includes a plurality of units, and each of the observers is configured to generate a separate output set that includes zero or more coordinates of such units.07-01-2010
20100158383IMAGE MARKER ATTACHING APPARATUS AND METHOD - A marker attaching apparatus attaches to an image a positioning marker for detecting a specific area in the image, and includes: an area size detection unit detecting a size of an area to which the positioning marker is attached; a marker adjustment unit adjusting the positioning marker depending on the detected size of the area; and a marker attaching unit attaching the adjusted positioning marker to the image.06-24-2010
20100158384METHOD FOR IMPROVING THE ABILITY TO RECOGNIZE MATERIALS IN AN X-RAY INSPECTION SYSTEM, AND X-RAY INSPECTION SYSTEM - A method for improving the ability to recognize materials in an X-ray inspection system is provided that includes the steps of recording at least two absorption X-ray images of an object to be examined at different energies, mathematically modeling the object by a number of layers assuming a particular material for each layer, wherein an absorption value describes the absorptivity of a layer, the number of layers is less than or equal to the number of X-ray images and at least one layer is assumed to be a material to be recognized during the inspection, decomposing the absorption value of each layer into a path-dependent factor and an energy-dependent factor, calculating the path-dependent factors for all layers from the absorption X-ray images using the absorption equation, calculating at least one synthetic image from the sum of all layers of the product of the absorption values and the weighting factors, evaluating the synthetic image.06-24-2010
20100158381IMAGE PROCESSING DEVICE, IMAGE PROCESSING METHOD, AND COMPUTER READABLE MEDIUM - An image processing device including: an image acceptance unit accepting a first image and a second image; a perimeter measurement unit measuring a perimeter of an object image within the first image or an object image within the second image; an area measurement unit measuring an area of the object image within the first image or the object image within the second image; a first reference area generation unit generating a first reference area based on the perimeter and area measured; a datum point extraction unit extracting datum points from the first image and the second image; and a first match judgment unit making the datum points coincide with each other, and judging whether or not the object image within the first image and the object image within the second image are matched, based on densities of the first and second image within the first reference area.06-24-2010
20100158382SYSTEM AND METHOD FOR DETECTING FACE - The system for detecting a face pattern from an input image includes a window extraction unit, a cost calculation unit, and a face pattern discrimination unit. The window extraction unit receives a pre-processed image corresponding to the input image to scan the preprocessed image in a certain window size, and parallelly outputs pre-processing coefficient values corresponding to the scanned pre-processed image. The cost calculation unit parallelly receives the pre-processing coefficient values corresponding to the window size, calculates cost values corresponding to the pre-processed coefficient values, and sums the cost values. The face pattern discrimination unit compares the sum of the cost values with a preset threshold value and discriminates if the pre-processed image corresponding to the window size is the face pattern.06-24-2010
20100195911System and method for image facial area detection employing skin tones - The subject application is directed to a system and method for image facial detection employing skin tones. Image data comprised of a plurality of pixels encoded in at least a three dimensional component space is received and sub-sampled region data is generated from the received image data. A percentage of pixels having a low chroma value below a threshold value is then calculated and tested against a predetermined percentage threshold value. Each pixel is then classified in accordance with a skin tone model. Skin tone map data is then generated based on classification and a skin tone mask is output form the map data.08-05-2010
20100195913Method and System for Immersing Face Images into a Video Sequence - The present invention is a system and method for immersing facial images of people captured automatically from an image or a sequence of images into a live video playback sequence. This method allows viewers to perceive a participation in the viewed “movie” segment. A format is defined for storing the video such that this live playback of the video sequence is possible. A plurality of Computer Vision algorithms in the invention processes a plurality of input image sequences from the means for capturing images, which is pointed at the users in the vicinity of the system and performs the head detection and tracking. The interaction in the invention can be performed either in real-time or off-line depending on the embodiment of the invention in an uncontrolled background.08-05-2010
20100067799GLOBALLY INVARIANT RADON FEATURE TRANSFORMS FOR TEXTURE CLASSIFICATION - A “globally invariant Radon feature transform,” or “GIRFT,” generates feature descriptors that are both globally affine invariant and illumination invariant. These feature descriptors effectively handle intra-class variations resulting from geometric transformations and illumination changes to provide robust texture classification. In general, GIRFT considers images globally to extract global features that are less sensitive to large variations of material in local regions. Geometric affine transformation invariance and illumination invariance is achieved by converting original pixel represented images into Radon-pixel images by using a Radon Transform. Canonical projection of the Radon-pixel image into a quotient space is then performed using Radon-pixel pairs to produce affine invariant feature descriptors. Illumination invariance of the resulting feature descriptors is then achieved by defining an illumination invariant distance metric on the feature space of each feature descriptor.03-18-2010
20100067800MULTI-CLASS TRANSFORM FOR DISCRIMINANT SUBSPACE ANALYSIS - A multi-class discriminant subspace analysis technique is described that improves the discriminant power of Linear Discriminant Analysis (LDA). In one embodiment of the multi-class discriminant subspace analysis technique, multi-class feature selection occurs as follows. A data set containing multiple classes of features is input. Discriminative information for the data set is determined from the differences of class means and the differences in class scatter matrices by computing an optimal orthogonal matrix that approximately simultaneously diagonalizes autocorrelation matrices for all classes in the data set. The discriminative information is used to extract features for different classes of features from the data set.03-18-2010
20100067798METHOD OF FACIAL IMAGE REPRODUCTION AND RELATED DEVICE - To modify a facial feature region in a video bitstream, the video bitstream is received and a feature region is extracted from the video bitstream. An audio characteristic, such as frequency, rhythm, or tempo is retrieved from an audio bitstream, and the feature region is modified according to the audio characteristic to generate a modified image. The modified image is outputted.03-18-2010
20090324086IMAGE PROCESSING APPARATUS FOR RETRIEVING OBJECT FROM MOVING IMAGE AND METHOD THEREOF - A face image is detected for each frame at a predetermined interval in moving image data, and the face image is traced using a frame in which the face image is detected and frames subsequent to the frame. A face sequence including an interval in which the face can be traced and motion velocity vectors of the face indicating a change in the position of the face image in the interval is generated based on the tracing result. Further, camera operation information about when the moving image data is acquired is generated from the frame image of the moving image data. When there is an overlap in the plurality of intervals in which the face images are traced, the face being tracked by the camera is determined using the face sequence and the camera operation information of each of the plurality of face images. The face determined to be tracked is then determined to be a key object.12-31-2009
20110188757IMAGE RECOGNITION SYSTEM BASED ON CASCADED OVER-COMPLETE DICTIONARIES - Certain embodiments of the present disclosure relate to a technique for image reconstruction that employs cascaded over-complete dictionaries (i.e., collections of bases) for extracting features and building representations for images at different reconstruction levels. Each dictionary on a different reconstruction level can be learned and optimized for the purpose of capturing either generic or discriminative features. By finding sparse representations through the cascaded dictionaries, an image can be reconstructed and recognized.08-04-2011
20100021066INFORMATION PROCESSING APPARATUS AND METHOD, PROGRAM, AND RECORDING MEDIUM - An information processing apparatus includes a face detecting unit configured to detect a face in an image; a discriminating unit configured to discriminate an attribute of the face detected by the face detecting unit; a generating unit configured to generate, from the face detected by the face detecting unit and the attribute discriminated by the discriminating unit, a feature amount of the image; and a learning unit configured to learn, from the feature amount generated by the generating unit, information for discriminating whether the image corresponds to a predetermined scene.01-28-2010
20100021062Apparatus,method and computer program providing image processing using software and hardware processing - A method for imaging processing is described. The method includes selecting a first set of image pixels of an input image and a second set of image pixels of the input image based at least in part on a context of the image pixels. Processing the first set of image pixels using hardware based processing to provide a first set of processed pixels is also included in the method. The method includes processing the second set of image pixels using algorithm based processing to provide a second set of processed pixels. The processed sets of pixels are combined to generate an output image. Apparatus and computer-readable media are also described.01-28-2010
20110216977Image processing apparatus and image processing method - An image processing apparatus includes a storing unit that stores dictionary data including information on a feature area that indicates an area where a feature of a subject appears; and a subject determination unit that compares, when an input image is acquired, the feature area of the dictionary data with an area of the input image corresponding to the feature area of the dictionary data, to determine whether the input image includes the subject.09-08-2011
20120308140SYSTEM FOR RECOGNIZING AN OPEN OR CLOSED HAND - A system and method are disclosed relating to a pipeline for generating a computer model of a target user, including a hand model of the user's hands, captured by an image sensor in a NUI system. The computer model represents a best estimate of the position of a user's hand or hands and whether the hand or hand is in an open or closed state. The generated hand model may be used by a gaming or other application to determine such things as user gestures and control actions.12-06-2012
20120308139METHOD AND SYSTEM FOR FACILITATING SUBSCRIBER SERVICES USING MOBILE IMAGING - An approach for providing access to subscriber services. A service processing platform receives a request and associated one or more images and determines an application associated with the request. The service processing platform also extracts data from the one or more images according to the determined application and forwards the extracted data to one or more subscriber systems for processing based on a subscriber service. The one or more subscriber systems are registered with the service processing platform.12-06-2012
20090257656Detecting Double JPEG Compression in Images - Techniques are generally described for detecting double JPEG compression in images. Example detection techniques of double JPEG compression may include receiving JPEG images for analysis and extracting 2-dimensional (2-D) arrays of JPEG coefficients from the images. 2-D difference arrays may be generated from the array of JPEG coefficients, with the entries in the difference array reflecting relative changes in values of pairs of entries in the array of JPEG coefficients. The detection techniques also model the difference arrays using random processes, and evaluate whether the random processes reveal statistical artifacts in the JPEG images. These statistical artifacts result from double JPEG impression performed on the JPEG images.10-15-2009
20100158379IMAGE BACKGROUND REMOVAL - A request is received to enter a background removal mode. A marquee is displayed for specifying a portion of an image to be provided to a foreground extraction engine (“FEA”). The portion of the image defined by the marquee is provided to the FEA. The FEA identifies the foreground and returns it to the application program. The image is displayed with the foreground distinguished from the background. If the marquee is re-sized or re-positioned, the portion of the image defined by the marquee is provided to the FEA. A line segment may be drawn over the background to define a portion of the image for inclusion in the foreground. A line segment may also be drawn over the foreground to define a portion of the image for inclusion in the background. Upon exit of the background removal mode, only the foreground of the image is displayed.06-24-2010
20120148158PLACE-BASED IMAGE ORGANIZATION - Systems and methods for image organization are provided. An image organization method in accordance with embodiments of the present disclosure includes, at a user computing device, receiving an image set comprising a plurality of images, and comparing a portion of each image in the image set with a verified cue library including a plurality of visual cues that correspond to different geographic place tags. The method may further include displaying a recommendation panel including a recommended place tag corresponding to a visual cue that matches the portion.06-14-2012
20110044544METHOD AND SYSTEM FOR RECOGNIZING OBJECTS IN AN IMAGE BASED ON CHARACTERISTICS OF THE OBJECTS - A characteristics-based image recognition method for recognizing objects in an image is implemented using an image sensor and a register. The image sensor has a plurality of pixel sensing elements. The method includes: setting a grayscale threshold value of the image; acquiring pixel values of each row sequentially in the image; identifying a background region and linear image segments of the objects in the image according to the grayscale threshold value; identifying the objects to which the linear image segments belong according to a spatial correlation between a newly detected linear image segment and a previously detected linear image segment; associating collected information of the linear image segments with the identified objects to which the linear image segments belong; and distinguishing the identified objects from each other based on solid, ring-shaped, long and short characteristics.02-24-2011
20110305394Object Detection Metadata - A perimeter around a detected object in a frame of image data can be generated in a first coordinate system. The perimeter can be converted from the first coordinate system into a second coordinate system having the same aspect ratio as the first coordinate system. A first metadata entry can include dimensions of image data in the second coordinate system. A second metadata entry can provide a location and dimensions of the converted perimeter in the second coordinate space. Additional metadata can indicate matching objects between frames, position of an object relative to other objects in a frame, a probability that an object is correctly detected, and a total number of objects detected across multiple frames of image data.12-15-2011
20110305396IMAGE RECOGNITION METHOD AND COMPUTER PROGRAM PRODUCT THEREOF - First, the image recognition method of the present invention transforms a first Cartesian coordinate value of a first image and a second Cartesian coordinate value of a second image in the Cartesian coordinate system into a first polar coordinate value and a second polar coordinate value in a polar coordinate system, respectively. Afterwards, the image recognition method adjusts the first image and the second image to multiple scales based on a radial coordinate of the polar coordinate system, and obtains a plurality of first local description values and a plurality of second local description values by analyzing the first interest points of the first image and the second interest points of the second image on the multiple scales, respectively. Finally, by intercomparing the first local description values and the second local description values, a matching feature between the first image and the second image is recognized.12-15-2011
20110305395Electronic Apparatus and Image Processing Method - According to one embodiment, an electronic apparatus includes an indexing module, a select module, a first image extraction module and a playback module. The indexing module is configured to generate index information indicative of attributes of a plurality of still images. The select module is configured to select a style. The first image extraction module is configured to extract a first still image group from the plurality of still images corresponding to the style, based on the index information. The playback module is configured to play back a moving picture by using the first still image group.12-15-2011
20100021065MULTIPLE IMAGE REGISTRATION APPARATUS AND METHOD - There is described a method of processing a plurality of images to determine one or more groups of images with each group of images forming a panorama. The method comprises identifying distinctive features in each image, comparing a distinctive feature in one image with distinctive features in other images to identify possible matching features, and processing said possible matches to determine said one or more groups of images. When comparing distinctive features, a distinctive feature in one image is only compared with a subset of the distinctive features in the other images which satisfy one or more predefined criteria. The criteria could involve the similarity of the images, or alternatively whether or not a decision on registration has already been made for the pair of images concerned, hi this way, the number of feature comparisons is reduced.01-28-2010
20120039538MOVING IMAGE PROCESSING APPARATUS, MOVING IMAGE PROCESSING METHOD, AND PROGRAM - There is provided a moving image processing apparatus, including a similarity determination unit configured to determine a degree of similarity between a subsequent cut and first and second cut groups based on feature amounts generated from extraction images of the first cut group included in a moving image and feature amounts generated from extraction images of the second cut group included in the moving image, a cut grouping unit configured to group the subsequent cut into a similar cut group similar to the subsequent cut, which is one of the first and second cut groups, when the subsequent cut is similar to the first or second cut group, and group the subsequent cut into a third cut group when the subsequent cut is not similar to either of the first and second cut groups, a feature amount generation unit configured to compare extraction images extracted from the third cut group with the extraction images extracted from the first and second cut groups when the subsequent cut is not similar to either of the first and second cut groups, and generate feature amounts of the third cut group, and an image extraction unit configured to preferentially extract an image with a later time code of the moving image from images included in each cut group, thereby obtaining extraction images of each cut group.02-16-2012
20120148159INFORMATION PROCESSING APPARATUS, EYE OPEN/CLOSED DEGREE DETERMINATION METHOD, COMPUTER-READABLE STORAGE MEDIUM, AND IMAGE SENSING APPARATUS - An information processing apparatus inputs an image, detects the face of a person from the input image, and calculates a feature amount associated with the open/closed state of eyes of the detected face. In addition, the information processing apparatus calculates, as a feature-change amount, the difference between the calculated feature amount and a predetermined feature amount, and calculates the eye open/closed degree of eyes of the detected face on the basis of the feature amount and the feature-change amount.06-14-2012
20100008585IMAGE PROCESSING APPARATUS, IMAGE PROCESSING METHOD, COMPUTER-READABLE MEDIUM AND COMPUTER DATA SIGNAL - An image processing apparatus includes an image receiving unit, first and second extraction units, a threshold value calculation unit, a concealment area determination unit and an image concealing unit. The image receiving unit receives an image. The first extraction unit extracts, using a first threshold value, a first area including at least a part of a portion having been additionally written in the received image. The threshold value calculation unit calculates a second threshold value based on a feature in a third area that is arranged along with the first area. The second extraction unit extracts, using the second threshold value, a second area including the portion having been additionally written in the image. The concealment area determination unit determines an area to be concealed in the image, based on the second area. The image concealing unit conceals the determined area in the image.01-14-2010
20090316993IMAGE IDENTIFICATION - A method and apparatus for deriving a representation of an image by processing signals corresponding to the image is described. The method includes deriving a two-dimensional function (T(d, θ)), such as a Trace transform of the image, and decomposing, for instance by sub-sampling, the two-dimensional function (T(d, θ)) in at least one of its two dimensions, to obtain a reduced resolution Trace transform. The decomposed, two dimensional function is then used to derive the representation of the image.12-24-2009
20120099794RETARGETING OF IMAGE WITH OVERLAY GRAPHIC - A method for retargeting an image being defined by a matrix of pixels and comprising an overlay graphic, comprises:•extracting (04-26-2012
20120099793VIDEO SUMMARIZATION USING SPARSE BASIS FUNCTION COMBINATION - A method for determining a video summary from a video sequence including a time sequence of video frames, comprising: defining a global feature vector representing the entire video sequence; selecting a plurality of subsets of the video frames; extracting a frame feature vector for each video frame in the selected subsets of video frames; defining a set of basis functions, wherein each basis function is associated with the frame feature vectors for the video frames in a particular subset of video frames; using a data processor to automatically determine a sparse combination of the basis functions representing the global feature vector; determining a summary set of video frames responsive to the sparse combination of the basis functions; and forming the video summary responsive to the summary set of video frames.04-26-2012
20100142822METHOD AND SYSTEM FOR DETECTING FLAME - A method and system for detecting flames are provided. The flame detection method based on image processing techniques performs the following steps to detecting flames. It first finds one or more bright objects in the images that are captured from videos. A flickering state of a bright object is then determined. To verify the existence of a flame, additionally subsequent images from the instant that a bright object first appears are utilized and the similar steps are applied to them. Finally a flame could be detected if the analyzed results are positive after the aforementioned steps have been performed.06-10-2010
20110064311ELECTRONIC APPARATUS AND IMAGE SEARCH METHOD - According to one embodiment, an electronic apparatus includes a group creation module, a face image selection module, a display image selection module, and a display control module. The group creation module creates groups by classifying still images. The face image selection module displays face images of persons contained in the still images based on classification of the face images in order to select at least one face image, in such a manner that each of the face images corresponds to one classification. The display image selection module selects at least one still image to be displayed, from a group including still images containing face images belonging to the classification of the at least one face images selected by the face image selection module. The display control module controls display of the at least one still image selected by the display image selection module.03-17-2011
20110317923METHOD OF COMPILING IMAGE DATABASE, IMAGE DATABASE COMPILATION PROGRAM, IMAGE RETRIEVAL METHOD - A method for creating an image database comprising an extraction step of extracting reference feature vectors from a reference image which should be compared with a retrieval query image for object recognition, the reference feature vectors corresponding to local features at different positions of the reference image and representing the position and characteristics of each of the local features as a vector position, vector length, and a vector direction, a clustering step of creating a plurality of clusters consisting of different reference feature vectors in such a manner that each reference vector belongs to any of the plurality of clusters, a selection step of selecting the representative vector of the clusters from among the reference feature vectors of each of the clusters, and a step of associating the representative vector with the reference image and registering the representative vector associated therewith in the image database for the object recognition, wherein, in the clustering step, each of the clusters is created in such a manner that reference feature vectors at a near vector position belong to the same cluster, and in the selection step, reference feature vectors with long vector length are given priority to select the representative vector, and wherein the retrieval query image and the reference image are compared with each other by generating at least one query feature vector from the retrieval query image, and applying local search between the query feature vector and the representative vector, each of the steps being executed by computers.12-29-2011
20120045131Method of and apparatus for processing images - Ruled lines are extracted and fitted into a real 2-D space. Correspondence between fitted cells and template cells of a ruled line template is determined. For each pair of cells corresponding to each other, the position of each pixel in the template cell is mapped into a real position in the real 2-D space based on an affine transformation between the cells. A pixel value based on pixel values of a plurality of pixels in the image with positions adjacent to the real position is generated as a pixel value of the pixel in the template cell corresponding to the real position. A synthesized image corresponding to the image is generated by merging the ruled lines of the ruled line template with the pixels in the template cells having the pixel values as generated. A form template is obtained based on the synthesized images corresponding to the plurality of images.02-23-2012
20120045130ELECTRONIC DEVICE AND METHOD FOR MATCHING IMAGES - In an electronic device and method of matching an image A and an image B, grayscale centers of the image A and the image B are computed. The image A is divided into n equal parts D02-23-2012
20120002876METHODS AND SYSTEMS FOR DETERMINING AN ENHANCED RANK ORDER VALUE OF A DATA SET - The value of a median or other rank of interest in a dataset is efficiently determined. Each active bit of the dataset is serially processed to compute one bit of the output value from each bit of the input dataset. If any sample in the dataset has an active bit that differs from the determined output value for that bit, then that sample can be marked as no longer in consideration. After an active bit has been processed, the data for that bit may be discarded or subsequently ignored. These techniques allow the rank value to be efficiently determined using pipelined logic in a configurable gate array (CGA) or the like. Further implementations may be enhanced to compute clipped means, to identify “next highest” or “next lowest” values, to reduce quantization errors through less-significant bit interpolation, to simultaneously process multiple values in a common pipeline, or for any other purpose.01-05-2012
20120008866Method and device for detecting an interfering object in a camera image - A method for detecting an interfering object in a camera image of a camera image sequence includes: reading in a first pixel data value of a predetermined position in a first camera image obtained at a first point in time, a second pixel data value of the predetermined position in a second camera image obtained at a second point in time after the first point in time, and a third pixel data value of the predetermined position in a third camera image obtained at a third point in time after the second point in time; ascertaining a reference value on the basis of the second pixel data value and a comparison value on the basis of the first pixel data value and/or the third pixel data value; and detecting the interfering object at the predetermined position when the reference value is in a predefined relationship with the comparison value.01-12-2012
20130011068Policy-Based Image Management - The different illustrative embodiments provide a method, computer program product, and apparatus for managing an image. A determination is made whether an object is present in a subset of a plurality of images using an identification of the object. A determination is made whether the object is permitted to be present in the subset of the plurality of images using the policy for the user associated with the object responsive to a determination that the object is present in the subset of the plurality of images using a policy for a user associated with the object. A removal action of the object is performed on the subset of the plurality of images responsive to an absence of a determination that the object is permitted to be present in the subset of the plurality of images using the policy.01-10-2013
20120014606IMAGE PROCESSING APPARATUS, IMAGE PROCESSING METHOD, AND COMPUTER-READABLE RECORDING MEDIUM - To improve the precision of a motion vector of a pixel included in an image by appropriately performing region division of the image. A plurality of images is obtained, any of the plurality of the obtained images is analyzed and a feature point of the image is extracted. A feature point of the image are added to the corners of the image and at least one feature point is added to any of positions on four sides formed by the feature points located at the corners of the image. Then, based on the extracted feature point and the added feature points, a motion vector of a pixel included in the image with respect to another image included in the plurality of images is determined.01-19-2012
20120014607METHOD AND CAMERA FOR DETECTING A REGION HAVING A SPECIFIC SHAPE - A method of detecting a region having a specific shape in a camera is provided. The method includes processing input image data in a camera and detecting the region having the specific shape. The method includes calculating gradation differences between a central pixel and respective peripheral pixels in each of local regions of an image frame, comparing an average gradation difference with each of the gradation differences and obtaining local gradient pattern (LGP) values based on a comparison result in each of the local regions, and detecting the region having the specific shape from the image frame using the LGP values obtained from the respective local regions.01-19-2012
20120014605IMAGE PROCESSING APPARATUS, IMAGE PROCESSING METHOD, AND COMPUTER-READABLE RECORDING MEDIUM - In region division of an image by a plurality of feature points, there is such a problem that a triangle with an extremely large distortion appears depending on arrangement of feature points when performing triangulation so that each region does not overlap one another. By the present invention, the frequency of occurrence of the triangle with a large distortion is reduced by analyzing a shape of each triangular region in particular and adding a feature point in the neighborhood of a triangular region having a distortion equal to or greater than a predetermined level.01-19-2012
20120057792INFORMATION PROCESSING DEVICE AND INFORMATION PROCESSING METHOD - A processing device and method is provided. According to an illustrative embodiment, the device and method is implemented by detecting a face region of an image, setting at least one action region according to the position of the face region, comparing image data corresponding to the at least one action region to the detection information for purposes of determining whether or not a predetermined action has been performed, and generating a notification when it is determined that the predetermined action has been performed.03-08-2012
20120057791INFORMATION PROCESSING APPARATUS AND CONTROL METHOD THEREOF - An information processing apparatus comprises: a registration unit adapted to register information required to determine at least one specific pattern in an image; an input unit adapted to input image data; a first generation unit adapted to extract a predetermined feature distribution from the input image data, and to generate a first feature distribution map indicating the feature distribution; a second generation unit adapted to generate a second feature distribution map by applying a conversion required to relax localities of the first feature distribution map to the first feature distribution map; and a determination unit adapted to determine, using sampling data on the second feature distribution map and the registered information, which of the specific patterns the image data matches.03-08-2012
20120057790INFORMATION PROCESSING DEVICE, INFORMATION PROCESSING METHOD, AND PROGRAM - An information processing device includes: a registration image generating section configured to generate a plurality of registration images assuming a plurality of different lighting conditions at a time of imaging from a registration original image in which a subject to be registered is imaged on a basis of an imaging characteristic of an imaging section; a feature quantity extracting section configured to extract respective feature quantities of an identifying object image in which a subject as an identifying object is imaged and the plurality of registration images; and an identifying section configured to identify the subject of the identifying object image on a basis of degrees of similarity between the feature quantity of the identifying object image and the feature quantities of the plurality of registration images.03-08-2012
20120057793IMAGE PROCESSING APPARATUS, IMAGE PROCESSING METHOD, AND PROGRAM - An image processing apparatus may include a feature quantity extraction unit configured to extract a feature quantity from an image, a setting unit configured to set setting information including a plurality of setting items used to perform processing upon the image so that a designated setting item can be changed among the setting items; and a recording unit configured to associate the setting information with a feature quantity of the image and record them.03-08-2012
20120027304SEMANTIC PARSING OF OBJECTS IN VIDEO - The invention provides an improved method to detect semantic attributes of human body in computer vision. In detecting semantic attributes of human body in computer vision, the invention maintains a list of semantic attributes, each of which corresponds to a human body part. A computer module then analyzes segments of a frame of a digital video to detect each semantic attribute by finding a most likely attribute for each segment. A threshold is applied to select candidate segments of the frame for further analysis. The candidate segments of the frame then go through geometric and resolution context analysis by applying the physical structure principles of a human body and by analyzing increasingly higher resolution versions of the image to verify the existence and accuracy of parts and attributes. A computer module computes a resolution context score for a lower resolution version of the image based on a weighted average score computed for a higher resolution version of the image by evaluating appearance features, geometric features, and resolution context features when available on the higher resolution version of the image. Finally, an optimal configuration step is performed via dynamic programming to select an optimal output with both semantic attributes and spatial positions of human body parts on the frame.02-02-2012
20120027303AUTOMATED MULTIPLE IMAGE PRODUCT SYSTEM - A computer system for making a multi-image product comprising a server connected to one or more remote clients through a network. Several software portions executable by the server or client, or any combination thereof, are provided for selecting first and second dates to define a date range and for selecting a theme, for retrieving a plurality of digital images that includes digital images taken within the date range, for segmenting the digital images into distinct events, each distinct event including one or more different digital images, for identifying distinct events corresponding to the theme, for selecting at least one digital image from each of at least two distinct events, and for incorporating the selected images into a multi-image product.02-02-2012
20120301031METHODS AND APPARATUS FOR IDENTIFYING PRIMARY MEDIA CONTENT IN A POST-PRODUCTION MEDIA CONTENT PRESENTATION - Methods and apparatus for identifying primary media content in a post-production media content presentation are disclosed. An example computer-implemented method to detect primary media content included in a secondary media content presentation disclosed herein comprises determining a first image corresponding to the secondary media content presentation, the first image comprising a plurality of image subregions, each image subregion representative of an inter-frame variation associated with a corresponding subregion of the secondary media content presentation, selecting a region of the first image comprising a plurality of connected image subregions of the first image together exhibiting a first type of inter-frame variation, and when a shape of the selected region of the first image corresponds to a predefined shape, processing a region of the first captured image corresponding to the selected region of the first synthetic image to identify the primary media content.11-29-2012
20120301030IMAGE PROCESSING APPARATUS, IMAGE PROCESSING METHOD AND RECORDING MEDIUM - An image processing apparatus includes: an input portion 11-29-2012
20120063685Method for image reframing - The invention relates to a method for reframing an image according to at least one predefined reframing method to obtain a reframed image for which the format ratio is equal to a target format ratio. The method comprises the following steps for: analyzing the image, selecting the predefined reframing method in a set of at least two reframing methods according to the result of the analysis step, and reframing said image using the selected reframing method. The invention also relates to a device for reframing an image.03-15-2012
20120155773IMAGE PROCESSING APPARATUS, IMAGE PROCESSING METHOD, AND STORAGE MEDIUM - An image processing apparatus includes an image input unit configured to input an image in which a real space is captured by an image capturing apparatus, an image recognition unit configured to recognize a situation in the real space captured in the input image, an image recording unit configured to record the input image, an image selection unit configured to select an image used for image communication from a plurality of images including images recorded by the image recording unit in the past based on a recognition result of the input image, and an image output unit configured to modify the selected image and output the modified image.06-21-2012
20120155774Statistical Approach to Large-scale Image Annotation - Statistical approaches to large-scale image annotation are described. Generally, the annotation technique includes compiling visual features and textual information from a number of images, hashing the images visual features, and clustering the images based on their hash values. An example system builds statistical language models from the clustered images and annotates the image by applying one of the statistical language models.06-21-2012
20120155770MAGNETIC DEVIATION DETERMINATION USING MOBILE DEVICES - An apparatus of a wireless communication system includes: a transceiver configured to receive and transmit information wirelessly; and a processor communicatively coupled to the transceiver and configured to access an image captured by an access terminal of the wireless communication system, a position of the access terminal, and multiple keypoints and a geographical location of each respective keypoint, each geographical location being a location near the position of the access terminal; and determine a magnetic deviation corresponding to the position of the access terminal by calculating a compass bearing and a true bearing to a feature within the image using the position of the access terminal and the geographical location of a keypoint, from the multiple keypoints, determined as corresponding to the feature.06-21-2012
20120155772IMAGE PROCESSING APPARATUS, IMAGE PROCESSING METHOD THEREOF, AND COMPUTER-READABLE STORAGE MEDIUM - An image processing apparatus sequentially detects a feature in an image, sequentially acquires information of the detected feature, compares information of a previous feature detected in a previous frame of the image with information of a current feature detected in a current frame of the image to sequentially determine whether to estimate that the previous feature matches the current feature, and stops the determination to record the information of the feature detected in the previous frame as information of the feature detected in the current frame in a case where the number of previous features estimated to match the current feature is equal to or greater than a predetermined number.06-21-2012
20120155771IDENTIFYING MULTIPLE RECTANGULAR AREAS IN A MULTI PROJECTOR SYSTEM - Determination of locations of multiple rectangular areas within a composite projection area formed on a projection surface by a projector array of multiple projectors. A location of a maximum rectangular area is determined within the composite projection area. Available regions comprise regions unoccupied by previously-located rectangular areas. The maximum rectangular area is removed from the available regions. The following are iteratively repeated: determining a location of a next maximum rectangular area and removing the next maximum rectangular area from the available regions, until a stopping condition is met. A list of determined locations for rectangular areas within the composite projection area is provided after the stopping condition has been met.06-21-2012
20110058745IMAGE PROCESSING METHOD AND IMAGE PROCESSING APPARATUS - This invention relates to an image processing method and image processing apparatus capable of accurately cutting out a desired target from a displayed image. A polygonal area including a cutout target is specified from a displayed image. It is determined whether or not each side of the specified polygon contacts with the cutout target. A side that does not contact with the cutout target is selected as a side for starting cutout processing in accordance with the determination result. The pixel value is examined from the selected side in the inward direction of the polygonal area. It is determined whether or not the pixel belongs to the desired target. Finally, the desired target is cut out in accordance with the determination result.03-10-2011
20110075931IMAGE PROCESSING METHOD FOR LOCATING AND RECOGNIZING BARCODES IN IMAGE FRAME, COMPUTER READABLE STORAGE MEDIUM, AND IMAGE PROCESSING APPARATUS - An image processing method of locating and recognizing barcodes in an image frame is applicable to an image processing apparatus. The method is to define plural scan tracks on the sample image frame, and the image processing apparatus searches for the section(s) possibly having the barcode, along each scan track. If the section(s) possibly having the barcode found on two neighboring scan tracks by the image processing apparatus is located at an approximate horizontal axis position, the image processing apparatus determines that a quadrilateral area defined by the two sections possibly having the barcode is an area possibly having the barcode. Therefore, the image processing apparatus can quickly locate and recognize the barcode area in the image frame.03-31-2011
20100172587METHOD AND APPARATUS FOR SETTING A LIP REGION FOR LIP READING - A method for setting a lip region of a face included in an image, including setting a first region and a second region in an image including a face, identifying contrast information of the first region, setting a threshold for binarization using the contrast information, and binarizing the second region based on the threshold. A region in which a pixel having an identical binary value continuously distributed within a predetermined number of ranges in the binarized image is set as an eye candidate object. An eye region is then extracted from the eye candidate object based on geometric characteristic of an eye region in an image, and the lip region is set with reference to the extracted eye region based on geometric information of the eye region and the lip region.07-08-2010
20100172588METHOD FOR ASSEMBLING A COLLECTION OF DIGITAL IMAGES - A method for recommending a collection of digital images from a set of images includes specifying at least one image selection criterion. For each of a plurality of images in the set of images, an image quality value for the image is determined. Images are recommended for the collection by taking into consideration the image quality value for the images and the degree to which the collection satisfies the at least one image selection criterion.07-08-2010
20110103692METHODS AND SYSTEMS FOR PROCESSING DATA USING NON-LINEAR SLOPE COMPENSATION - Systems and devices for processing image or other data using non-linear methods to compensate for localized slopes are described. In one implementation, the slope of the sample values in an image or other dataset is estimated in one or more directions using a non-linear filter, such as a median filter. The values of at least some of the samples of interest are compensated using the estimated slope values to remove the effects of the slope. The compensated values may then be processed to determine if the target is present in the samples of interest, or for any other purpose.05-05-2011
20110103696IMAGE DISTRIBUTION APPARATUS AND IMAGE DISTRIBUTION METHOD - The present invention enables image distribution while maintaining privacy, using a simple configuration. An image distribution apparatus which distributes image data to which location information has been added stores information specifying an inhibited area concerning the location information and determines whether or not a location indicated by the location information added to the image data to be distributed falls within the stored inhibited area. If it is determined that the location indicated by the location information falls within the inhibited area, the image distribution apparatus distributes the image data by deleting the location information from the image data to be distributed. On the other hand, if it is determined that the location indicated by the location information falls outside the inhibited area, the image distribution apparatus distributes the image data with the location information added.05-05-2011
20110103695IMAGE PROCESSING APPARATUS AND IMAGE PROCESSING METHOD - Corresponding partial features are extracted from an input pattern and a registration pattern as a preregistered pattern. A plurality of combinations of the partial features are generated as composited partial features. One of registration pattern classes to which the input pattern corresponds is identified by using the plurality of composited partial features. The identification is performed based on the result of evaluation of the partial features which belong to the composited partial feature and correspond to each other in the input pattern and the registration pattern. In the evaluation, the composited partial feature is evaluated based on the measurement result of the quantity of partial features meeting a predetermined criterion.05-05-2011
20110103694OBJECT IDENTIFICATION APPARATUS AND OBJECT IDENTIFICATION METHOD - An object identification apparatus which identifies an object included in an input image includes a unit which calculates correlation values of feature amounts in standard partial feature regions respectively extracted from the input images and processing targets, and correlation values of feature amounts in adaptive partial feature regions respectively extracted from the input image and processing targets, a unit which calculates similarities based on the calculated correlation values, and a unit which integrates the plurality of calculated similarities, and outputs them as an integrated similarity between the input image and registered image as the processing targets. According to the object identification apparatus, an identification performance between two specific categories, which are similarity to each other, is improved while maintain an overall identification performance.05-05-2011
20110103693Method for predicting a trend of a meteorological phenomenon on the basis of data originating from a meteorological radar - The present invention relates to a method for predicting a trend of a meteorological phenomenon on the basis of data originating from a meteorological radar. The method includes at least the following steps: a first step of extracting gray level skeletons from images representing the data of the radar; a second step of associating characteristic data indicative of the state of the meteorological system with the gray level local extrema points; a third step of pairing each gray level skeleton of the two successive images; a fourth step of predicting future positions of the forms of the images; a fifth step of predicting trend data of the meteorological system; and a sixth step of representing the information originating from the sixth tracking step. The invention can notably be applied to the establishment of a prediction of trend of a cloud mass. The prediction of the trend of a meteorological situation may be presented to a pilot of an aircraft.05-05-2011
20110103691MATCHING IMAGES WITH SHAPE DESCRIPTORS - An image retrieval system includes an image entry unit configured to input an image. A descriptor determining unit receives the image and transforms the image into an intermediate image to generate a descriptor of the image, for example, utilizing the distance transform (DT) application. An image comparing unit compares the image with a plurality of candidate images by comparing the descriptor of the image with descriptors of the plurality of candidate images. Finally, a retrieving unit retrieves one or more candidate images similar to the input image based on the comparison of their descriptors.05-05-2011
20120314955INFORMATION PROCESSING DEVICE, INFORMATION PROCESSING METHOD, AND PROGRAM - An information processing device includes: an information processing unit that performs information processing sequentially using data with respect to each unit of processing, and obtains information processing results using a predetermined number of data in the order of processing with reference to data to be processed in the information processing of the data; and a data supplementation unit that extracts data contained in the predetermined number for obtaining the information processing result of the data of the next unit of processing to be subjected to the information processing and holds the data as supplementary data in the data with respect to each unit of processing supplied to the information processing unit, and allows the information processing unit to perform the information processing sequentially using the held supplementary data and the data of the next unit of processing to be subjected to the information processing.12-13-2012
20100092091IMAGE DISPLAY APPARTUS - An image display apparatus displays time-series images, and includes a display-condition receiving unit that receives at least an input that specifies a minimum display rate as a display condition for displaying each image that makes up time-series images; an importance calculating unit that calculates an importance coefficient that represents the degree of importance of each of the images; a display-time calculating unit that calculates a display time for each of the images using the display condition that is received by the display-condition receiving unit and the importance coefficient that is calculated by the importance calculating unit; and a display control unit that performs control so that the images are displayed on a display unit sequentially in a temporal order for the respective display times that are calculated by the display-time calculating unit.04-15-2010
20100092090SYSTEM AND METHOD FOR MAKING A CORRECTION TO A PLURALITY OF IMAGES - An image processing apparatus includes a feature amount recognition unit that recognizes a feature amount of each of plural pieces of image data, and a processing reference extraction unit that extracts a processing reference for image correction to be made to the plural pieces of image data from the feature amount recognized by the feature amount recognition unit.04-15-2010
20100195912IMAGING DEVICE, IMAGE COMPOSITION AND DISPLAY DEVICE, AND IMAGE COMPOSITION METHOD - An imaging device of the present invention comprises an imaging section for forming a subject image and outputting image data, a face detection section for detecting a person's face based on the image data, a decoration image selection section for selecting a decoration image from a plurality of decoration image data, in accordance with a face detected by the face detection section, and a first combining section for combining the selected decoration image and the face image. Also, an image composition and display device of the present invention comprises a storage section for storing image data, a decoration image selection section for selecting a decoration image from a plurality of decoration image data, in accordance with a face detected from image data, and a first combining section for combining the selected decoration image and the face image.08-05-2010
20120128253IMAGE PROCESSING APPARATUS, IMAGE PROCESSING SYSTEM AND METHOD FOR PROCESSING IMAGE - According to one embodiment, an image processing apparatus includes an image block generator, a pixel extractor, a correction parameter calculator and a corrector. The image block generator enlarges an image block including a plurality of pixels to generate an enlarged image block. The pixel extractor extracts a maximum pixel with a maximum pixel value and a minimum pixel with a minimum pixel value from the image block. The correction parameter calculator calculates a correction parameter including a first difference and a second difference. The first difference is an absolute value of a difference between a sample pixel value of a sample pixel to be corrected in the enlarged image block and the maximum pixel value. The second difference is an absolute value of a difference between the sample pixel value and the minimum pixel value. The corrector corrects the enlarged image block using the correction parameter.05-24-2012
20120128254MARKER GENERATION DEVICE, MARKER GENERATION DETECTION SYSTEM, MARKER GENERATION DETECTION DEVICE, MARKER, MARKER GENERATION METHOD, AND PROGRAM THEREFOR - Provided is a marker generation device which has a feature comparison means and a marker pattern generation means. The feature comparison means disposes feature points extracted from an image in a predetermined space, sets parts in which the number of feature points in the predetermined space is equal to or less than a predetermined number as singular features, disposes feature points extracted from an identifier in the predetermined space, and counts the number of feature points that coincide with the singular features. The marker pattern generation means converts the structure of the identifier and extracts the feature points from the converted identifier. The feature comparison means disposes the feature points extracted from the converted identifier in the predetermined space, counts the number of feature points that coincide with the singular features, and selects, as a marker for detection, an identifier having the most counts from among identifiers before conversion and one or two or more identifiers that have been converted.05-24-2012
20110182518METHOD AND APPARATUS FOR SEARCHING FOR IMAGE - A method and apparatus for searching for an image are provided. The method includes: determining whether a unique identifier exists in metadata of an input image to be searched for; when the unique identifier exists in the metadata, searching for an original image of the input image in a target device by using the unique identifier; when the unique identifier does not exist in the metadata, extracting a characteristic value of the input image; and when the unique identifier does not exist in the metadata, searching for the original image by comparing the extracted characteristic value with one or more characteristic values of one or more images stored in the target device.07-28-2011
20110182517SEGMENTATION AND IDENTIFICATION OF LAYERED STRUCTURES IN IMAGES - Disclosed herein are systems and method for segmentation and identification of structured features in images. According to an aspect, a method may include representing an image as a graph of nodes connected together by edges. For example, the image may be an ocular image showing layered structures or other features of the retina. The method may also include adding, to the graph, nodes adjacent to nodes along first and second sides of the graph. The added nodes may have edge weights less than the nodes along the first and second sides of the graph. Further, the method may include assigning start and end points to any of the added nodes along the first and second sides, respectively. The method may also include graph cutting between the start and end points for identifying a feature in the image.07-28-2011
20110182519GESTURE RECOGNITION WITH PRINCIPAL COMPONENT ANAYSIS - A system and method for identifying a position of a moving object, utilizing sensors arranged in any arbitrary configuration, is provided. A pre-processing method is applied to permit implementation on a low power computing device, such as a microcontroller. The preprocessing creates a set of training data corresponding to different gestures, based on different positions of moving objects. Accordingly, utilizing the training data, different types of gestures can be classified by comparing a sensed signal to the set of training gestures.07-28-2011
20110182516LEARNING DEVICE, LEARNING METHOD, IDENTIFYING DEVICE, IDENTIFYING METHOD, PROGRAM, AND INFORMATION PROCESSING SYSTEM - A learning device includes: a feature point extracting unit for extracting a feature point from each of multiple generated images made up of a positive image including an identified object, and a negative image excluding the identified object; a feature point feature amount extracting unit for extracting feature point feature amount representing the feature of the feature point from the generated image; a whole feature amount calculating unit for calculating the whole feature amount representing the feature of the whole generated image based on the feature point feature amount of a feature point existing on a feature point selection range determined based on the multiple generated images, of the generated image range; and an identifier generating unit for generating an identifier based on the whole feature amount of the generated image, and a correct answer label representing whether the generated image is the positive image or the negative image.07-28-2011
20110182515LEARNING DEVICE, LEARNING METHOD, IDENTIFYING DEVICE, IDENTIFYING METHOD, AND PROGRAM - A learning device includes: a feature point extracting unit for extracting a feature point from each of multiple generated images; a feature point feature amount extracting unit for extracting feature point feature amount representing the feature of the feature point from the generated image; a whole feature amount calculating unit for calculating the whole feature amount representing the feature of the whole generated image from the feature point feature amount of the generated image based on a shared code book including generated feature amount to be commonly used for generation of an identifier for identifying each of different identified objects; and an identifier generating unit for generating the identifier based on the whole feature amount of the generated image, and a correct answer label representing whether the generated image is the positive image or the negative image.07-28-2011
20110182514METHOD OF DECODING CODING PATTERN HAVING SELF-ENCODED FORMAT - A method of decoding a coding pattern disposed on or in a substrate. The method comprises the steps of: (a) operatively positioning an optical reader relative to a surface of the substrate; (b) capturing an image of a portion of the coding pattern; (c) sampling and decoding a registration symbol contained in the imaged portion; (d) determining, using the decoded registration symbol, an encoding format; and (e) using the determined encoding format to sample and decode data symbols in the imaged portion. The coding pattern comprises a plurality of macrodots encoding data symbols and registration symbols, wherein each data symbol is represented by d macrodots, each of the d macrodots occupying a respective position from a plurality of predetermined possible positions p, the respective positions of the d macrodots representing one of a plurality of possible data values. Each registration symbol, or a set of the registration symbols, identifies an integer value of d and thereby the encoding format.07-28-2011
20100189356IMAGE PROCESSING APPARATUS, IMAGE MANAGEMENT APPARATUS AND IMAGE MANAGEMENT METHOD, AND COMPUTER PROGRAM - An image processing apparatus includes: face detection means for detecting a subject face contained in each of images continuously captured by capturing means and extracting attribute information on each detected face; score determination means for determining a score for each of the continuously captured images on the basis of the attribute information on the detected face extracted by the face detection means; and representative image selection means for selecting a representative image from the continuously captured images on the basis of the score determined by the score determination means.07-29-2010
20120170847OBJECT MAPPING DEVICE, METHOD OF MAPPING OBJECT, PROGRAM AND RECORDING MEDIUM - A device stores therein contents and time information pieces each indicating time at which the corresponding content was generated; categorizes, into first and second groups, objects included in contents corresponding to time information pieces indicating times within a first period and a second period that partially overlap, the first group composed of objects that are included in contents corresponding to time information pieces indicating times within the first period and are similar to each other, and the second group composed of objects that are included in contents corresponding to time information pieces indicating times within the second period and are similar to each other; and when a number of objects belonging to both the first and second groups is greater than or equal to a predetermined number, associates the objects belonging to the first group with the objects belonging to the second group as objects indicating a same entity.07-05-2012
20120076417IMAGE RECOGNITION METHOD AND IMAGE RECOGNITION APPARATUS - An image recognition apparatus is provided which comprises a first extracting means for extracting, from every registration image previously registered, a set of registration partial images of a predetermined size, and a second extracting means for extracting, from an input new image, a set of new partial images of a predetermined size. The apparatus further comprises a discriminating means for discriminating an attribute of the new partial image based on a rule formed by dividing the set of the registration partial images extracted by the first extracting means, and a collecting means for deriving a final recognition result of the new image by collecting discrimination results by the discriminating means at the time when the new partial images as elements of the set of the new partial images are input.03-29-2012
20120076416DETERMINING CORRELATIONS BETWEEN SLOW STREAM AND FAST STREAM INFORMATION - A collection of documents are correlated with information items in a fast stream of information using categorical hierarchical neighborhood trees (C-HNTs). First data entities extracted from the documents are inserted into corresponding C-HNTs. The first data entities that are neighbors in the C-HNTs of second data entities extracted from the fast stream items are identified. Similarities between the documents and the fast stream items are determined based on the location at which the neighbors are located.03-29-2012
20120177293FEATURE EXTRACTION DEVICE - According to one embodiment, a feature extraction device includes an obtaining unit that obtains image data having a plurality of pixels. The device includes a pixel feature calculation unit that calculates first pixel features and second pixel features of each of the pixels, which are different from each other, and a classification unit that classifies a pair of pixels by using the first features for at least some of the plurality of pixels. The device includes a co-occurrence frequency calculation unit that calculates a co-occurrence frequency representing a frequency of co-occurrence of the second pixel features of the first pixel and the second pixel features of the second pixel for the set for which a result of the classification by the classification unit is consistent.07-12-2012
20120177292METHOD AND APPARATUS FOR COLLECTING CONTENT - A method of collecting content by a content-collecting apparatus is provided. The method includes extracting a characteristic information from content that is being displayed; transmitting the extracted characteristic information to an external device; and receiving content relating to the transmitted characteristic information from the external device.07-12-2012
20120177291Document comparison and analysis - A method including a process by which a first digital image of the document is obtained. A second digital image of a document is retrieved from a computer, a mobile device, a computer network or by imaging of a second document. The method includes calculating the transformation between the first and second digital images such as geometrical distortion, local ‘brightness and contrast differences and blurring due to the optical imaging process. The method estimates the parameters of these transformations so that the transformations can be applied to one of the images, rendering it as similar as possible to the other image. The method further compares the two images in order to find differences such as addition, deletion or changing of characters or words.07-12-2012
20100272365PICTURE PROCESSING METHOD AND PICTURE PROCESSING APPARATUS - Shot groups that include face areas and satisfy a predetermined criterion are selected out of shot groups that are sets of similar shots. Face areas included in the same shot group are classified according to features. A classified face area group included in the same shot group is presumed to be that of the same person and selected as the face area group of a main character. Consequently, the main character is selected by combining similarity of shots forming a picture and face area detection. Therefore, even in a picture including a character whose face cannot be detected in a part of shot sections, it is possible to order and select characters and select a face of a main character more conforming to actual program contents in a television program than that in the related art.10-28-2010
20100272363FACE SEARCHING AND DETECTION IN A DIGITAL IMAGE ACQUISITION DEVICE - A method of detecting a face in an image includes performing face detection within a first window of the image at a first location. A confidence level is obtained from the face detection indicating a probability of the image including a face at or in the vicinity of the first location. Face detection is then performed within a second window at a second location, wherein the second location is determined based on the confidence level.10-28-2010
20120251007Robust Large-Scale Visual Codebook Construction - Techniques for construction of a visual codebook are described herein. Feature points may be extracted from large numbers of images. In one example, images providing N feature points may be used to construct a codebook of K words. The centers of each of K clusters of feature points may be initialized. In a looping or iterative manner, an assignment step assigns each feature point to a cluster and an update step locates a center of each cluster. The feature points may be assigned to a cluster based on a lesser of a distance to a center of a previously assigned cluster and a distance to a center derived by operation of an approximate nearest neighbor algorithm having aspects of randomization. The loop terminates when the feature points have sufficiently converged to their respective clusters. Centers of the clusters represent visual words, which may be used to construct the visual codebook.10-04-2012
20090092319PHASE-INFORMATION EXTRACTION METHOD - Only phase information of a measurement object is extracted with superior precision from a phase-information image in which background phase information is superimposed on phase information of the measurement object. A method of extracting phase information of a measurement object includes a region-specifying step of specifying a region in which a measurement object exists and a region in which no measurement object exists in a phase-information image containing measurement objects, showing a two-dimensional distribution of phase information to be measured, a background-image creating step of creating a background phase-information image by interpolating the phase information of the region in which the measurement object exists on the basis of the phase information of the region in which no measurement object exists, specified in the region-specifying step; and a difference calculating step of calculating a difference between the background phase-information image created in the background-image creating step and the phase-information image.04-09-2009
20090087100TOP OF HEAD POSITION CALCULATING APPARATUS, IMAGE PROCESSING APPARATUS THAT EMPLOYS THE TOP OF HEAD POSITION CALCULATING APPARATUS, TOP OF HEAD POSITION CALCULATING METHOD AND RECORDING MEDIUM HAVING A TOP OF HEAD POSITION CALCULATING PROGRAM RECORDED THEREIN - Automatic detection of top of head positions of humans is enabled from within digital images even in cases that backgrounds are not monotonous. Face regions are detected from within input images. Detection ranges, within which tops of heads are searched for, are set based on the detected face regions. Hair regions are detected by extracting high frequency components from within the detection ranges. The positions of the tops of heads are calculated from the detected hair regions.04-02-2009
20100008586Systems and Methods of Managing Audio and Other Media - The presently claimed invention relates to audio and video processing. One claim recites a method including: obtaining streaming audio or video on a handheld wireless device, the handheld wireless device comprising: i) a programmed electronic processor, and ii) memory; using the programmed electronic processor, analyzing data representing the audio or video to extract identifying information there from; obtaining a device identifier or user identifier from the memory; communicating the identifying information and the device identifier or user identifier to a database as part of a request to add a title corresponding to the streaming audio or video to a media collection associated with the device identifier or user identifier, and in which the title is associated with the identifying information. Of course, other claims and combinations are provided too.01-14-2010
20100008584SYSTEM AND METHOD FOR DEVICE MAPPING BASED ON IMAGES AND REFERENCE POINTS - System and method for mapping a location of each of a plurality of devices in a data center. In one embodiment, the method comprises receiving image data comprising an image of at least a portion of the data center from a source; processing the image data to locate visual identifiers displayed in the image, wherein each of the visual identifiers is associated with one of the devices or with a spatial reference point; extracting the located visual identifiers and determining spatial coordinates for each of the identified visual identifiers from the image; and determining the spatial reference points from the image. The method further comprises developing groups based on extracted visual identifiers and spatial coordinates thereof and the spatial reference points, wherein allowances are made for an angle of the image, wherein each group comprises a subset of related ones of the devices; for each group, comparing each of the visual identifiers of the group with a key to determine information regarding the associated device to obtain processing results; and combining processing results corresponding to multiple images to remove redundant information and produce final results.01-14-2010
20090060342Method and Apparatus for Determining Highlight Segments of Sport Video - In a method for determining highlight segments of a sport video, the sport video having a plurality of image frames is analyzed to recognize a scoreboard image and a plurality of scoreboard characteristics thereof. The scoreboard image comprises at least one of the scoreboard characteristics. Then, a request message showing at least one recognized scoreboard characteristic is displayed on a user interface to receive a user response, wherein the user response includes a recognized result of one of the scoreboard characteristics. Finally, variations in the recognized scoreboard image among image frames can be monitored according to the user response. Therefore, the highlight segments of the sport video can be determined according to the variations.03-05-2009
20090060341INFORMATION INPUT OUTPUT METHOD USING A DOT PATTERN - A quadrangular or rectangular area on a medium surface of a printed material is defined as a block. A straight line in a vertical direction and a horizontal direction along an edge of the block is defined as a reference lattice line. A virtual lattice point is disposed at a predetermined interval on the reference lattice line. A reference lattice point dot is disposed on a virtual lattice point on a horizontal reference lattice line. A straight line connecting the reference grid point dots and virtual lattice points on a vertical line is defined as a lattice line. A point of intersection between lattice lines is defined as a virtual lattice point. A dot pattern is generated by arranging one or more information dots having a distance and a direction on the basis of the virtual lattice point. Such a dot pattern is scanned as image information by an optical reading means. Then, the dot pattern is converted into a numerical value and the information corresponding to the numerical information is read from a storage means. Then the information is outputted.03-05-2009
20090060340Method And Apparatus For Automatic Image Categorization Using Image Texture - A method of automatically categorizing an input image comprises extracting texture features of the input image and generating a signature vector based on extracted texture features. The generated signature vector is processed using at least one classifier to classify the input image.03-05-2009
20120189206IMAGE DYNAMIC RANGE COMPRESSION SYSTEM, METHOD AND PROGRAM - There is provided an image dynamic range compression system which can compress a dynamic range for which the visibility of a low-frequency image is ensured while preserving a high-frequency image. An image converting unit converts an input image into a compressed image having a narrower dynamic range than the input image. A high-frequency image extracting unit extracts a high-frequency image from the input image. An image synthesizing unit synthesizes a compressed image and the high-frequency image. Further, by adaptively changing synthesizing method of ensuring the visibility of images to synthesize, the image synthesizing unit synthesizes these images.07-26-2012
20120189207IDENTIFYING DESCRIPTOR FOR PERSON AND OBJECT IN AN IMAGE (AS AMENDED) - A device and method for processing an image to create appearance and shape labeled images of a person or object captured within the image. The appearance and shape labeled images are unique properties of the person or object and can be used to re-identify the person or object in subsequent images. The appearance labeled image is an aggregate of pre-stored appearance labels that are assigned to image segments of the image based on calculated appearance attributes of each image segment. The shape labeled image is an aggregate of pre-stored shape labels that are assigned to image segments of the image based on calculated shape attributes of each image segment. An identifying descriptor of the person or object can be computed based on both the appearance labeled image and the shape labeled image. The descriptor can be compared with other descriptors of later captured images to re-identify a person or object.07-26-2012
20090028436IMAGE PROCESSING APPARATUS, IMAGE FORMING APPARATUS AND IMAGE READING APPARATUS INCLUDING THE SAME, AND IMAGE PROCESSING METHOD - A feature point calculating section binarizes the image data to obtain a centroid of a consecutive component in which pixels are connected as a feature point, reverses the image data, obtains a centroid as a feature point from the reversed image data similarly, and adds them as a feature point of the image data. A features calculating section calculates a predetermined invariant based on the feature point containing the feature point obtained from the reversed image data, and calculates a hash value based on the predetermined invariant. A vote process section retrieves a hash table based on the calculated hash value, votes for a document of an index stored in association with the hash value, and accumulatively adds the vote. A similarity determination process section compares the number of votes calculated by the vote process section with a predetermined threshold value to determine a similarity.01-29-2009
20120230588IMAGE PROCESSING DEVICE, IMAGE PROCESSING METHOD AND IMAGE PROCESSING PROGRAM - An in-scene digest segment number determining unit allocates the total number of cuts to be extracted as digest segments to each scene of digest creation objective scenes. A feature quantity detecting unit selects a plurality of representative frames from respective frames included in a cut extraction scene where the number of digest segments to be extracted is one or more and further detects a feature quantity of each representative frame. An importance calculating unit calculates the degree of importance of each representative frame, based on the feature quantities of each representative frame. A digest segment selecting unit determines a digest segment to be selected from each cut extraction scene, based on both feature quantities and importance degrees of representative frames in each cut extraction scene.09-13-2012
20100226575METHOD AND APPARATUS FOR REPRESENTING AND IDENTIFYING FEATURE DESCRIPTIONS UTILIZING A COMPRESSED HISTOGRAM OF GRADIENTS - A method, apparatus and computer program product may be provided for generating a plurality of compressed feature descriptors that can be represented by a relatively small number of bits, thereby facilitating transmission and storage of the feature descriptors. A method, apparatus and computer program product may also be provided for permitting a compressed representation of a feature descriptor to be compared with a plurality of compressed representations of feature descriptors of respective predefined features. By permitting the comparison to be performed utilizing compressed representations of feature descriptors, a respective feature descriptor may be identified without having to first decompress the feature descriptor, thereby potentially increasing the efficiency with which feature descriptors may be identified.09-09-2010
20110123119IMAGING METHOD OF STRUCTURE DEFECT, IMAGING DEVICE OF STRUCTURE DEFECT, IMAGING METHOD OF BUBBLE OR LESION AND IMAGING DEVICE OF BUBBLE OR LESION - Scattered waves from the defect of burst ultrasonic waves radiated from an ultrasonic transmitter to a structure in two different arrangements of the ultrasonic transmitter and an array receiver are received by the array receiver so as to obtain a reception signal. The reception signal is subjected to a band-pass filter that passes a specific frequency component, shifted by different time according to the position of each reception sensor element of the array receiver and then, added so as to obtain a processing signal. On the basis of the processing signal, an image of the defect is obtained, respectively. A common portion of the obtained two images is extracted.05-26-2011
20110123118METHODS, SYSTEMS, AND MEDIA FOR SWAPPING FACES IN IMAGES - Methods, systems, and media for swapping faces in images are provided. In some embodiments, a detected face and face data corresponding to an input image is received. A pose bin associated with the detected face is then identified based on the face data. Next, the detected face is aligned to a generic face associated with the pose bin. At least a portion of a candidate face associated with the pose bin is selected. The at least a portion of the candidate face is then copied to a copy of the input image that is aligned with the generic image to form a swapped-face image. The swapped-face image is next aligned to the input image to form an output image, and then the output image is outputted to a display.05-26-2011
20080298683INFORMATION PROCESSING APPARATUS AND INFORMATION PROCESSING METHOD - An object is designated as a designated object. Two or more image data items containing objects each being different from the designated object by an amount smaller than or equal to a first predetermined value are selected from among a specific image data item group. The selected two or more image data items are displayed in two or more display regions provided on a display unit. The objects each being different from the designated object by the amount smaller than or equal to the first predetermined value are defined as main objects, the two or more image data items are adjusted such that differences in position and size of the main objects in the display regions between the two or more image data items are made smaller than or equal to a second predetermined value, and the adjusted two or more image data items are displayed.12-04-2008
20110002545DIGITAL IMAGE PROCESSING USING FACE DETECTION INFORMATION - A method of processing a digital image using face detection within the image achieves one or more desired image processing parameters. A group of pixels is identified that correspond to an image of a face within the digital image. Default values are determined of one or more parameters of at least some portion of the digital image. Values are adjusted of the one or more parameters within the digitally-detected image based upon an analysis of the digital image including the image of the face and the default values.01-06-2011
20110002544IMAGE SYNTHESIZER AND IMAGE SYNTHESIZING METHOD - Two camera assemblies in a multiple camera system output first and second images. In an image synthesizing method of stitching, an overlap area where the images are overlapped on one another is determined. Feature points are extracted from the overlap area in the first image. Relevant feature points are retrieved from the overlap area in the second image in correspondence with the feature points of the first image. Numbers of the feature points and the relevant feature points are reduced according to distribution or the number of the feature points. A geometric transformation parameter is determined according to coordinates of the feature points and the relevant feature points for mapping the relevant feature points with the feature points, to transform the second image according to the geometric transformation parameter. The second image after transformation is combined with the first image to locate the relevant feature points at the feature points.01-06-2011
20110002543METHOD AND SYSTEM FOR RECOMMENDING PHOTOGRAPHS - Method for recommending photographs chosen from a set of digital photographs, comprising: 01-06-2011
20120093417GRAPH SIMILARITY CALCULATION SYSTEM, METHOD AND PROGRAM - A computer implemented method and system for calculating a degree of similarity between two graphs whose nodes are respectively given discrete labels include providing, for each of the two graphs, label values respectively to a given node and nodes adjacent thereto so that different ones of the discrete labels correspond to different ones of the label values. The nodes are sequentially tracing for each of the two graphs, and, during the tracing of the nodes, a new label value is calculated through a hash calculation using a label value of a currently visited node and also using label values of nodes adjacent to the currently visited node to update the label value to the currently visited node. The degree of similarity between the two graphs is calculated on the basis of the number of the label values having been given to nodes of the two graphs and agreeing between the two graphs.04-19-2012
20110038545SCALE ROBUST FEATURE-BASED IDENTIFIERS FOR IMAGE IDENTIFICATION - A method for deriving an image identifier comprises deriving a scale-space representation of an image, and processing the scale-space representation to detect a plurality of feature points having values that are maxima or minima. A representation is derived for a scale-dependent image region associated with one or more of the detected plurality of feature points. In an embodiment, the size of the image region is dependent on the scale associated with the corresponding feature point. An image identifier is derived using the representations derived for the scale-dependent image regions. The image identifiers may be used in a method for comparing images.02-17-2011
20110038544IMAGE PROCESSING DEVICE, IMAGE PROCESSING METHOD, AND ELECTRONIC APPARATUS - An image processing device detecting a skin area representing the skin of a person from an image obtained by imaging an object, includes: imaging means for imaging the object; first illumination means for radiating light having a first wavelength from first and second positions determined based on the position of the imaging means; second illumination means for radiating light having a second wavelength different from the first wavelength from third and fourth positions determined based on the position of the imaging means; and detection means for detecting the skin area on either a first image obtained through imaging of the object performed by illuminating the object with the light having the first wavelength or a second image obtained through imaging of the object performed by illuminating the object with the light having the second wavelength.02-17-2011
20120269440DEVICE AND METHOD THAT COMPARE FACIAL IMAGES - A first normalizing means generates a first normalized image by performing a normalizing process with fixed aspect ratios on given facial images. A feature extracting means generates feature images including features to be used for comparing faces, from the first normalized image. A second normalizing means generates a second normalized image by performing a normalizing process with variable aspect ratios on the feature images. A first comparing means calculates a first comparing result as an index as to whether or not faces in two images belong to one person, using the feature images. A second comparing means calculates a second comparing result as an index as to whether or not the faces in the two images belong to one person, using the second normalized image. A judging means judges whether or not the faces in the two images belong to one person, based on the first and second comparing result.10-25-2012
20110222777Systems And Methods For Automatically Determining 3-Dimensional Object Information And For Controlling A Process Based On Automatically-Determined 3-Dimensional Object Information - An image containing one or more types of objects to be located is analyzed to locate linear features within the image. The objects have edges having known spatial relationships. The linear features and identified virtual lines are analyzed to find groups of linear features and/or virtual lines that have one of the known spatial relationships. These relationships can include parallel edges, edges that meet at certain angles or angle ranges, the number of lines meeting a vertex and the like. The identified group is compared with projected 2-dimensional representation(s) of the object(s) to determine whether any additional lines appear in the image that are part of the located object. In various exemplary embodiments, two or more hypotheses for how the identified group of linear features maps to the 3-dimensional representation of the object can be generated. The best fitting hypothesis becomes the recognized 3-dimensional shape and orientation for that object.09-15-2011
20110222775IMAGE ATTRIBUTE DISCRIMINATION APPARATUS, ATTRIBUTE DISCRIMINATION SUPPORT APPARATUS, IMAGE ATTRIBUTE DISCRIMINATION METHOD, ATTRIBUTE DISCRIMINATION SUPPORT APPARATUS CONTROLLING METHOD, AND CONTROL PROGRAM - An attribute of image data can accurately be discriminated. An image attribute discrimination apparatus includes a heterogeneous region extracting unit that specifies a heterogeneous region from image data. The heterogeneous region includes a heterogeneous matter whose attribute is different from that of a content originally produced by the image data. An image attribute discrimination apparatus further includes a scene discrimination unit that discriminates the attribute of the image data based on a feature quantity extracted from a pixel group except each pixel in the heterogeneous region in each pixel of the image data.09-15-2011
20110235916Determining Points of Parabolic Curvature on Surfaces of Specular Objects - Embodiments of the invention disclose a system and a method for determining points of parabolic curvature on a surface of a specular object from a set of images of the object is acquired by a camera under a relative motion between a camera-object pair and the environment. The method determines directions of image gradients at each pixel of each image in the set of images, wherein pixels from different images corresponding to an identical point on the surface of the object form corresponding pixels. The corresponding pixels having substantially constant the direction of the image gradients are selected as pixels representing points of the parabolic curvature.09-29-2011
20120321192DIGITAL IMAGE COMMUNICATION - A system for enhancing group communication includes a computer server for receiving a first digital from a remote client. The server analyzes the first image to determine one or more first image attributes and communicates the image to one or more recipients. Communication information including image attributes, email addresses, and names of the recipients is stored. When a second image is received the server analyzes it to determine its attributes and forms second image communication information relevant to the second image. The second communication information includes data from the first image communication information, its image attributes, and one or more separate second image recipients.12-20-2012
20100232703Image processing apparatus, image processing method, and program product thereof - An image processing apparatus of the invention generates one still image having a high pixel density from multiple images. The image processing apparatus includes: an image extraction module that extracts the multiple images used for generation of the one still image; a deviation computation module that computes a degree of deviation between each combination of the extracted multiple images; an exclusion module that excludes any image having the computed degree of deviation out of a preset threshold range from the extracted multiple images; and an image composition module that combines remaining images other than the excluded image to generate the one still image. This arrangement of the invention ensures efficient image processing to generate one high-resolution still image from multiple images.09-16-2010
20100232702IMAGE MANAGEMENT APPARATUS, CONTROL METHOD, AND STORAGE MEDIUM - The present invention is directed to an image managing apparatus allowing a user to acquire an image shot by other user participated in an event that the user participated in when a user shot images with the user's own camera but there was a period of time in which the user could not shoot due to some reason. The image management apparatus of the present invention is configured to sort a plurality of images shot by the user's camera based on a shooting time, calculate a non-shooting time period, extract an image shot by a camera of other user, which has a shooting time included in the non-shooting time period of the user. Further, the image management apparatus extracts an image having keywords, a shooting position, and object information, which are the same as an image shot by the camera of the user.09-16-2010
20100232701SYSTEM AND METHOD FOR IDENTIFYING WALL FACES IN AN OBJECT MODEL - A method, system, and computer readable medium for identifying wall features in an object model represented in a CAD system. A method includes loading an object model in a CAD system and receiving a selection of a first face of the object model by the CAD system. The method includes finding candidate wall faces by the CAD system and storing the candidate wall faces in a candidate list, and designating at least one candidate wall face in the candidate list as a counterpart face to the first face. The method includes storing the first face and the counterpart faces as a wall of the object model. Some methods include removing at least one second face from the candidate list based on an exclusion rule.09-16-2010
20120087589METHODS FOR IDENTIFYING IMAGING DEVICES AND CLASSIFYING IMAGES ACQUIRED BY UNKNOWN IMAGING DEVICES - A method of classifying an image taken by an image capture device, the method comprising the steps of: extracting an initial Sensor Noise Pattern (SNP) for the image; enhancing the initial SNP to create an enhanced SNP by applying a correcting model, wherein the correcting model scales the initial SNP by a factor inversely proportional to the signal intensity of the initial SNP; determining a similarity measure between the enhanced SNP for said image with one or more previously calculated enhanced SNPs for one or more different images; and classifying the image in a group of one or more images with similar or identical SNPs based on the determined similarity measure.04-12-2012
20120087588SYSTEM AND METHOD FOR CUSTOMIZED VIEWING OF VISUAL MEDIA - The customized viewing of an event, such as a sports event, includes identifying an object in the sports event with an identification device, capturing visual media such as photograph(s) or video of said sports event and marking the visual media upon the recognition of the object by a camera. The captured visual media is encoded into a variety of display formats for easy viewing on any selected display device. Electronic information tags include real-time and/or historical information specific for the object and is stored on a database and linked with a unique identification used to identify the object. A user selects items such as object(s) and tag(s) from selection matrixes for the captured visual media and produces a filtered visual media that is customized to the viewing desires of that user.04-12-2012
20120321194IMAGE ENLARGEMENT DEVICE, IMAGE ENLARGEMENT PROGRAM, MEMORY MEDIUM ON WHICH AN IMAGE ENLARGEMENT PROGRAM IS STORED, AND DISPLAY DEVICE - The disclosed image enlargement device is provided with: an image enlargement filter (12-20-2012
20120321193METHOD, APPARATUS, AND COMPUTER PROGRAM PRODUCT FOR IMAGE CLUSTERING - Various methods for clustering images of faces are provided. One example method may include receiving a plurality of input clusters including a first cluster and at least a second cluster, where each input cluster including at least one feature that was extracted from an image. The example method may further include determining a first medoid for the first cluster and a second medoid for the second cluster, determining an inter-cluster distance between the first medoid and the second medoid, and merging the first cluster with the second cluster to generate a merged cluster in an instance in which the inter-cluster distance is less than a distance threshold. Similar and related example methods, example apparatuses, and example computer program products are also provided.12-20-2012
20120328196IMAGE PROCESSING APPARATUS, IMAGE PROCESSING METHOD, AND PROGRAM - Aspects of the present invention include an apparatus comprising a memory storing instructions, and a control unit configured to execute the instructions to detect an image of an object of interest within an image of real space, detect an orientation of the real space object image with respect to a real space user perspective, generate a modified image comprising an image of a modified object, corresponding to the real space object, such that an orientation of the modified object image corresponds to a desired user perspective, and display the modified image.12-27-2012
20100202697SPECIFYING POSITION OF CHARACTERISTIC PORTION OF FACE IMAGE - There is provided an image processing apparatus that specifies a position of a predetermined characteristic portion of a target face image.08-12-2010
20100202696IMAGE PROCESSING APPARATUS FOR DETECTING COORDINATE POSITION OF CHARACTERISTIC PORTION OF FACE - Image processing apparatus and methods are provided for detecting coordinate positions of characteristic portions of a face image. A method includes identifying a face area of the target image, determining initial coordinate positions for characteristic portions, selecting at least one characteristic amount used for correcting the initial coordinate positions or previously generated corrected coordinate positions, determining corrected coordinate positions by using the selected at least one characteristic amount, and detecting the corrected coordinate positions as the coordinate positions.08-12-2010
20100202695APPARATUS, METHOD AND PROGRAM - The subject of the present invention is to provide an apparatus which can improve decoding performance in the decoding processing of an encoded image pattern to reduce a load of the decoding processing. For solving the above problem, an apparatus according to the present invention is an apparatus for decoding an encoded image pattern having a detection pattern, the apparatus comprising a detecting unit configured to detect the detection pattern from an image, a correcting unit configured to correct a density of the encoded image pattern of which a position is specified by the detected detection pattern, based upon a density of the detected detection pattern, and a decoding unit configured to decode the encoded image pattern of which a density has been corrected.08-12-2010
20100202694INSPECTION APPARATUS - An inspection apparatus inspects a package group including a plurality of discrete packages that are successively connected in a chain. The inspection apparatus includes an irradiating component, a light receiving component, a generating component, an identifying component, an estimating component and a weight diagnosing component. The irradiating component is configured and arranged to irradiate inspection waves to the package group with the inspection waves being X-rays or terahertz waves. The identifying component is configured to identify a plurality of discrete package regions corresponding to the discrete packages from an inspection image generated by the generating component. The estimating component is configured to estimate one or more weight values respectively corresponding to one or more of the discrete package regions. The weight diagnosing component is configured to diagnose the package group as being abnormal in weight when any of the weight values falls outside a predetermined range.08-12-2010
20100202693Apparatus and method for recognizing hand shape in portable terminal - A portable terminal is configured to recognize an image such as a hand shape. The portable terminal includes a motion detection unit that includes a trainer capable of generating uniform training image data to collectively generate a plurality of images of a desired region obtained from an original image in an identical posture and an identical size, and performing a training process to prevent a feature point from being generated in a portion where detection is unnecessary in the generated training image data, and a detector capable of detecting a rotated object from input data, after the training process.08-12-2010
20130011069ARCHITECTURAL PATTERN DETECTION AND MODELING IN IMAGES - Systems and methods are provided to facilitate architectural modeling. In one aspect, repetitive patterns are automatically detected and analyzed to generate modeled structural images such as building facades. In another aspect, structural symmetry is analyzed to facilitate architectural modeling and enhanced image generation.01-10-2013
20110158537IMAGE PROCESSING APPARATUS - An electronic image is received by a system to process the image for the presence of a face. The image is repeatedly electronically scanned using a plurality of windows for the presence of facial poses. A plurality of directional poses is detected during the scanning process. Reliabilities for each type of detected poses are calculated. The reliabilities are based on the amount of times the directional poses are detected during the scanning process and directions of the directional poses.06-30-2011
20110158536OBJECT IDENTIFICATION APPARATUS AND CONTROL METHOD THEREOF - An object identification apparatus, which identifies a class of a plurality of registered classes to which an object included in an input image belongs, registers a plurality of registered images used in identification of an input image, and holds designation data required to designate partial areas used in identification. The apparatus extracts feature amounts of the partial areas designated by the designation data from the input image and each of the plurality of registered images, and identifies a class to which the input image belongs based on the extracted feature amounts. The apparatus determines based on the plurality of registered images whether or not is required to update processing contents of an identification unit. When it is determined that the processing contents are required to be updated, the apparatus updates the designation data based on registered images.06-30-2011
20110158535IMAGE PROCESSING APPARATUS AND IMAGE PROCESSING METHOD - A classification result is stored in advance. At the time of identification, classification is performed at a high speed based on the stored classification result. In pre-classification, classification is performed divisionally in two stages. In the first classification, a plurality of representative vectors are generated from the classification result using a fast executable method. In the second classification, the created representative vectors are classified, and the result is stored in a lookup table. When an identification target image is input, the classification result can be reflected at a high speed by using the lookup table.06-30-2011
20130022273IMAGE PROCESSING APPARATUS, IMAGE PROCESSING METHOD, AND STORAGE MEDIUM - An image processing apparatus according to the present invention can specify, among a plurality of frames, a plurality of frame groups having at least one frame included between the plurality of frame groups that are extraction target candidates in an array of the plurality of frames in the moving image according to a predetermined frame interval, analyze each of the plurality of specified frame groups, and extract a frame to be output from each of the plurality of frame groups based on a result of the analysis.01-24-2013
20130170753APPARATUS AND METHOD OF CONTENT RETRIEVAL AND PROGRAM - The present invention relates to an apparatus and a method of content retrieval and a program which facilitate recognizing content details of a moving image by displaying a retrieval result for each of a plurality of images.07-04-2013
20080232693Image processing apparatus, image processing method, and computer program product - An image processing apparatus that detects a face area from image information includes a pattern database, a face-direction determining unit, and a face-area detector. The face-direction determining unit determines, as a face direction, a direction in which a face image in image information is upright based on determination pattern information stored in the pattern database. The face-area detector matches the direction of the image information with the direction of the determination pattern information based on the face direction, and detects a face area from the image information.09-25-2008
20080232691Method for Using Portable Electronic Equipment, Which Comprises a Digital Camera or Can be Connected to a Digital Camera, to Scan a Surface Containing Text and/or Drawings or Sketches - The invention relates to a method for using portable electronic equipment, which comprises a digital camera or can be used with a digital camera, to scan a surface containing text and/or drawings or sketches. According to the method, a digital photograph, which comprises the surface to be scanned, is taken with the digital camera of the electronic device. The text and/or drawings or sketches of the surface to be scanned are transferred to a digital image file, maintaining both their own and their mutual spatial arrangement. The effects that appear during the creation of the photograph comprising the surface to be scanned and that have a detrimental effect on the image, for example geometric distortion, lack of focus, blurring, shadows and/or light reflection effects, digital noise, lack of contrast and/or colorimetric shift, are removed or compensated.09-25-2008
20080226175APPARATUS, METHOD, AND PROGRAM FOR FACE FEATURE POINT DETECTION - A face feature point detection apparatus includes an image capturing device, an edge calculating unit calculating edge values indicating a luminance change in a direction, and a detection target determining unit scanning an edge image, which is created by arranging the edge values for corresponding pixels based on pixel arrangement of the face images, with an image window being an aggregation of selected pixels formed in a predetermined shape, the detection target determining unit determining a position of the image window having a largest weighted sum of weighted sums to be a detection position where a detection target is present, providing that the weighted sum is calculated by multiplying the edge value which corresponds to each pixel in the image window by a predetermined value defined on a per-pixel basis and adding up all products of the edge value and the predetermined value.09-18-2008
20080226174Image Organization - A system for organizing images includes an extraction component that extracts visual information (e.g., faces, scenes, etc.) from the images. The extracted visual information is provided to a comparison component which computes similarity confidence data between the extracted visual information. The similarity confidence data is an indication of the likelihood that items of extracted visual information are similar. The comparison component then generates a visual distribution of the extracted visual information based upon the similarity confidence data. The visual distribution can include groupings of the extracted visual information based on computed similarity confidence data. For example, the visual distribution can be a two-dimensional layout of faces organized based on the computed similarity confidence data—with faces in closer proximity faces computed to have a greater probability of representing the same person. The visual distribution can then be utilized by a user to sort, organize and/or tag images.09-18-2008
20080226173METHOD AND APPARATUS FOR VIDEO CLIP SEARCHING AND MINING - A method, apparatus, and electronic device for searching for repetitive video content are disclosed. A memory may store a set of video data. A processor may match a premier query window to a trellis match video window of the set of video data. The processor may compare a successive query window to a successive trellis match video window. The processor may disregard the trellis match video window if the successive trellis match video window does not match the successive query window.09-18-2008
20110274355VIDEO DESCRIPTOR GENERATION DEVICE - The video descriptor generation device includes a first extraction unit, a second extraction unit, and a feature combining unit. The first extraction unit extracts a first feature for each picture which is a frame or a field of a video. The second extraction unit extracts a second feature from a region defined by an edge of an image included in the video. The feature combining unit combines the first feature and the second feature to generate a video descriptor.11-10-2011
20080219559Information Processing Apparatus, Information Processing Method and Information Processing Program - Disclosed herein is an information processing apparatus for carrying out an information registration process to register preference information of a user for an item determined in advance. The information processing apparatus including: image feature quantity extraction means; an object image feature quantity database; an object image preference information database; matching image detection means; and preference information acquisition means.09-11-2008
20130094761ELECTRONIC DEVICE AND METHOD FOR CREATING MEASUREMENT CODES - A method for creating measurement codes automatically using an electronic device. In the method, a directory tree is created to display a plurality of feature elements. A selected feature element in the directory tree is determined; and output axes of the selected feature element are determined, according to an attribute type and a measurement type of the selected feature element. A marked number of the selected feature element is received; and a reference value, an upper tolerance, and a lower tolerance of the selected feature element are obtained. Measurement codes of the selected feature element are created according to the above-described obtained information, and the measurement codes are stored in a storage device of the electronic device.04-18-2013
20130114902High-Confidence Labeling of Video Volumes in a Video Sharing Service - A volume identification system identifies a set of unlabeled spatio-temporal volumes within each of a set of videos, each volume representing a distinct object or action. The volume identification system further determines, for each of the videos, a set of volume-level features characterizing the volume as a whole. In one embodiment, the features are based on a codebook and describe the temporal and spatial relationships of different codebook entries of the volume. The volume identification system uses the volume-level features, in conjunction with existing labels assigned to the videos as a whole, to label with high confidence some subset of the identified volumes, e.g., by employing consistency learning or training and application of weak volume classifiers.05-09-2013
20130101218APPARATUS, METHOD AND PROGRAM FOR IMAGE SEARCH - One or more representative images extracted from an image group comprising a plurality of images is/are displayed. A part or all of the representative image or images, such as a main subject region or a background region including a search target, is/are selected from the representative image or images, and used for setting search conditions. The image group is searched for an image or images agreeing with the search conditions having been set.04-25-2013
20130101217METHOD AND APPARATUS FOR MAKING PERSONALIZED CONTENTS - A method for making personalized content by providing attributes to an object included in the electronic book content to reconfigure the electronic book content suited to tastes of a user and an apparatus thereof by executing electronic book content, extracting text information of the executed electronic book content, extracting keywords registered in an effect database from the extracted text information, providing a list of the extracted keywords when selection of a specific objected included in the electronic book content, and providing an attribute mapped to a keyword selected from the keyword list to the selected object.04-25-2013
20130121586DETERMINING REPRESENTATIVE IMAGES FOR A VIDEO - A video comprises at least one shot (SH), which is a continuous sequence of images representing a scene viewed from a particular location. Images are selected from a shot (SH) so as to obtain a continuous sequence of selected images (SI) that are evenly distributed throughout the shot. At least one continuous subsequence (SB05-16-2013
20130121585Method and Device for Identifying an Image Acquisition Feature of a Digital Image and Apparatus for Implementing Such a Device - The invention particularly relates to a method for identifying an image acquisition feature of a digital image oriented in a coordinate system having a reference axis. According to the invention, this method comprises the steps of: (A) detecting the contours of each distinctive element of the image;-(B) forming a list including each contour constituted by a rectilinear segment; (C) searching, in the list of rectilinear contours, a pair of significant rectilinear segments; (D) in the case where step (C) is successful, checking for a condition of relative symmetry of the significant rectilinear segments with respect to the reference axis; and (E) producing, respectively in the case where step (D) is successful and in the case where one of steps (C) and (D) fails, a data respectively representative of the presence and absence of perspective in the image acquisition, with respect to the reference axis.05-16-2013
20130129221IMAGE PROCESSING DEVICE, IMAGE PROCESSING METHOD, AND RECORDING MEDIUM - There is provided an image processing device including a synthesis processing portion configured to perform a synthesis process of performing addition on pixels including a region of a subject included in an input image and terminate the synthesis process on the basis of a detection result of a subject detection portion which detects the subject of the input image.05-23-2013
20130129220PATTERN RECOGNIZER, PATTERN RECOGNITION METHOD AND PROGRAM FOR PATTERN RECOGNITION - A loss calculation element calculates a loss of a feature vector for each class, the feature vector indicating a feature of data belonging to the class. A loss difference calculation element calculates a sum of differences of losses between the classes based on the loss calculated for each class. A recognition dictionary creation element creates a recognition dictionary based on a total sum of losses calculated for the classes and the total sum of loss differences between the classes. The recognition dictionary creation element corrects, on a basis of an input feature vector, a recognition dictionary so as to minimize a sum of the total sum of losses for the classes calculated by the loss calculation element and the total sum of loss differences between the classes calculated by the loss difference calculation element, and the pattern classification element classifies a pattern of data using the corrected recognition dictionary.05-23-2013
20130136361Mixed Code, and Method and Apparatus for Generating the Same - A mixed code, and a method and apparatus for encoding the same are provided. The mixed code includes a first code image region storing a first code image obtained by encoding first information using color, shading, or a combination thereof, and a second code image region storing a second code image obtained by encoding second information using color, shading, or a combination thereof. The first code image and/or the second code image includes the results of encoding interpretation information, construction information, error control information, and code direction information. The mixed code is made by adjusting the difference in color and brightness between the first and second code images to a predetermined level and combining these images.05-30-2013
20130142431Metadata Based Alignment of Distorted Images - A method for aligning and unwarping distorted images in which lens profiles for a variety of lens and camera combinations are precomputed. Metadata stored with images is used to automatically determine if a set of component images include an excessive amount of distortion, and if so the metadata is used to determine an appropriate lens profile and initial unwarping function. The initial unwarping function is applied to the coordinates of feature points of the component images to generate substantially rectilinear feature points, which are used to estimate focal lengths, centers, and relative rotations for pairs of the images. A global nonlinear optimization is applied to the initial unwarping function(s) and the relative rotations to generate optimized unwarping functions and rotations for the component images. The optimized unwarping functions and rotations may be used to render a panoramic image.06-06-2013
20080199081Image processing apparatus, image processing method and computer-readable medium - An image processing apparatus includes an extracting unit, a representative-image generating unit and a vector converting unit. The extracting unit extracts pixel blocks from image data. The representative-image generating unit generates representative images from the pixel blocks extracted by the extracting unit, based on a similarity between the pixel blocks. The vector converting unit converts the representative images generated by the representative-image generating unit into vector information.08-21-2008
20080199080SYSTEM AND METHOD FOR ANALYZING MATERIAL PROPERTIES USING HYPERSPECTRAL IMAGING - Systems and methods are provided for analyzing material properties of an object using hyperspectral imaging. An exemplary method includes obtaining a hyperspectral image of an object; analyzing the hyperspectral image according to an algorithm; and correlating data obtained from the analysis with material properties of the object.08-21-2008
20080199079Information Processing Method, Information Processing Apparatus, and Storage Medium Having Program Stored Thereon - An information processing method of the present invention includes acquiring scene information of image data from supplemental data appended to the image data, identifying a scene of an image represented by the image data based on the image data, and storing the identified scene in the supplemental data when there is a mismatch between a scene indicated by the scene information and the identified scene.08-21-2008
20080199078System and method for image registration based on variable region of interest - An image registration system for aligning first and second images. The novel system includes a first system for extracting a region of interest (ROI) from each image and a second system for coarsely aligning the regions of interest. The first system determines the size and location of the ROI based on the number of features contained within the region. The size of the ROI is enlarged until a number of features contained in the ROI is larger than a predetermined lower bound or until the size is greater than a predetermined upper bound. The second system computes a cross-correlation on the regions of interest using a plurality of transforms to find a coarse alignment transform having a highest correlation. The image registration system may also include a third system for performing sub-pixel alignment on the regions of interest.08-21-2008
20080199077Pattern recognition filters for digital images - In an exemplary embodiment, a pattern is recognized from digitized images. A first image metric is computed from a first digitized image and a second image metric is computed from a second digitized image. A composite image metric is computed as a function of the first image metric and the second image metric, and a pattern is identified by comparing the composite image metric against a reference image metric. The function may be a simple average or a weighted average. The image metric may include a separation distance between features, or a measured area of a feature, or a central angle between two arcs joining a feature to two other features, or an area of a polygon whose vertices are defined by features, or a second moment of a polygon whose vertices are defined by features. The images may include without limitation images of friction ridges, irises, or stars.08-21-2008
20110222776FORM TEMPLATE DEFINITION METHOD AND FORM TEMPLATE DEFINITION APPARATUS - Disclosed are a form template definition method and a form template definition apparatus. The form template definition method comprises a cell extraction step of analyzing an image of a form so as to extract one or more cells from the image of the form; a cell classification step of classifying the extracted cells; and a cell attribute definition step of defining attributes of the extracted cells class by class. If an attribute of a first cell in one class is defined, then other cells in the class automatically copy the attribute of the first cell. As a result, the work amount of form template definition may be dramatically reduced by employing the form template definition method and form template definition apparatus.09-15-2011
20110222774IMAGE FEATURE DETECTION BASED ON APPLICATION OF MULTIPLE FEATURE DETECTORS - In a particular embodiment, a method includes applying a first feature detector to a portion of an image to detect a first set of features. The first set of features is used to locate a region of interest, and a boundary corresponding to the region of interest is determined. The method also includes displaying the boundary at a display. In response to receiving user input to accept the displayed boundary, a second feature detector is applied to an area of the image encapsulated by the boundary.09-15-2011
20130148894IMAGE RECONSTRUCTION METHOD AND DEVICE - An objective is to enable calculation of a distribution of a physical property such as a density inside a measurement object, even when the distribution of the physical property value is non-uniform, within a feasible period of time without causing image deterioration due to phenomena such as refraction and multiple-reflections caused by the non-uniformity. To this end, the physical property value that makes an evaluation quantity be an extremum is outputted, where the evaluation quantity is a liner sum or a product of exponential function of: an equation residual quantity that is a residual being a difference between an operator term and an external force term of an equation of motion; a non-uniformity detection equation residual quantity that is a residual of an equation of detecting the non-uniformity of the physical property value from a matching degree of solutions of the equation of motion under two types of boundary conditions; and a conditional equation residual quantity that is a residual of a constraint condition.06-13-2013
20130148891USAGE OF VISUAL READER AS AN INPUT PROVIDER IN PORTALS - The present disclosure involves computer-implemented methods, software, and systems for providing information to a business application using captured image information. A computer-implemented method includes receiving, using at least one computer, image information, wherein the image information contains business object identifying data, analyzing the received image information to retrieve the business object identifying data, identifying at least one business object corresponding to the retrieved business object identifying data, retrieving business object information associated with the identified at least one business object from a memory, and transmitting the retrieved business object information to at least one business application.06-13-2013
20130148892IMAGE PROCESSING APPARATUS, NON-TRANSITORY COMPUTER READABLE MEDIUM STORING PROGRAM, AND IMAGE PROCESSING METHOD - Provided is an image processing apparatus including a first specifying unit that specifies second feature point candidates, a second specifying unit that specifies second feature point candidates, an evaluating unit that generates evaluation information on evaluation of the second feature point candidate of a target first feature point based on the result of comparison between the relative position of the other first feature point to the target first feature point and the relative position of the second feature point candidate of the other first feature point to the second feature point candidate of the target first feature point, and a setting unit that sets the second feature point candidate of the target first feature point in accordance with the evaluation information as the second feature point corresponding to the target first feature point.06-13-2013
20120275704RANKING IMAGE IMPORTANCE WITH A PHOTO-COLLAGE - A method of ranking the importance of digital images from a collection of images, including using a processor to operate upon a photo-collage identifying digital images in the image collection to rank the importance of one or more of the digital images based on the photo-collage, and associating the importance ranking of the one or more digital images with the corresponding one or more digital images.11-01-2012
20100290707IMAGE ACQUISITION METHOD, DEVICE AND RADIOGRAPHY SYSTEM - An image acquisition method includes determining the starting position, the ending position of a region of interest, and the value of overlap of the region of interest in the two adjacent sub-images, calculating the number of the sub-images required to be captured, the component of field of view at the direction of tube movement and the positions of the tube and the detector corresponding to each sub-image based on the starting position and the ending position of a region of interest and the value of the overlap. The method also includes moving the tube and the detector to each position and capturing the region of interest to obtain sub-images at the positions, and pasting the several sub-images together to form an image of the said region of interest.11-18-2010
20100316296Method and system for analyzing lip conditions using digital images - Systems and methods are provided for analyzing lip conditions using digital images. The method comprises acquiring a white-light image and an ultraviolet (“UV”) image of the lips of a subject, each of the white-light and UV images including a plurality of pixels and each pixel in the UV image corresponding to a respective pixel in the white-light image. The method further comprises identifying lip-pixels in the white-light and UV images, and obtaining results associated with at least one lip condition using information in the lip pixels in the first white light and UV images.12-16-2010
20130156321VIDEO PROCESSING APPARATUS AND METHOD - In one embodiment, a method is disclosed for performing a video processing. The method can extract one or more common video segments. The method can select a common summarization segment based on a first summarization score. The method can extract one or more individual video segments in which the number of segments included therein is not more than a third threshold value that is less than a second threshold value. The method can select an individual summarization segment based on a second summarization score. In addition, the method can integrate the common summarization segment and the individual summarization segment to create the summary video.06-20-2013
20130156318Techniques for Capturing and Generating lmages and Reports with lmage Elements and Live Data - Techniques for efficiently capturing, generating and distributing realistic images and dynamic reports with live sources are provided. Among other aspects, the system includes a user interface with identifier tags to create and manipulate dynamic and fixed representational image elements to create high resolution, seamless composite images or image streams with low processing and storage requirements, from databases or other sources. The identifier tags may be provided with Relational Aspects, including physical models governing image elements and their 3-D subjects. Image output may be in digital, analog or direct representational formats, and a new format combining features of each. Element Seeding or Borrowing may be implemented to further enhance elements of the image or report composites.06-20-2013
20130156319FEATURE VECTOR CLASSIFIER AND RECOGNITION DEVICE USING THE SAME - Provided are a feature vector extractor and a recognition device using the same. The feature vector classifier includes a feature vector extractor configured to generate a feature vector and a normalized value from an input image and output the feature vector and the normalized value; and a feature vector classifier configured to normalize the feature vector based on the normalized value and classify the normalized feature vector to recognize the input image. Thus, during extraction and classification of a feature vector, time required for the extraction and classification and the size of hardware required are significantly reduced.06-20-2013
20130114903METHOD FOR EXTRACTING RANDOM SIGNATURES FROM A MATERIAL ELEMENT AND METHOD FOR GENERATING A DECOMPOSITION BASE TO IMPLEMENT THE EXTRACTION METHOD - The present invention concerns a method for extracting a random signature from a subject material element, comprising: 05-09-2013
20130202209IMAGE PROCESSING DEVICE, IMAGE PROCESSING METHOD, COMPUTER PROGRAM AND COMPUTER-READABLE RECORDING MEDIUM - There is provided an image processing device including an image quality configuring part configured to configure image quality on a per-recognizable scene of an image basis according to an instruction from a user, an image quality storage configured to store the image quality configured for each scene, an image recognition part configured to recognize a scene of an image to be acquired, and an image processing part configured to perform image processing on the image based on the image quality configured for the recognized scene by the image quality configuring part.08-08-2013
20120301032IMAGE CLASSIFICATION APPARATUS, IMAGE CLASSIFICATION METHOD, PROGRAM, RECORDING MEDIUM, INTEGRATED CIRCUIT, AND MODEL CREATION APPARATUS - The image classification apparatus extracts first features of each received image (S11-29-2012
20130208984CONTENT SCENE DETERMINATION DEVICE - The content related data extraction element extracts first content related data from input content. The first scene determination element compares the first content related data with first reference content related data, and determines a primary object included in the input content and an area, in the input content, where the primary object is present. The second scene determination element generates second content related data in which the influence of the area, which is determined that the primary object is present, is eliminated from the first content related data, compares the generated second content related data with second reference content related data, and determines a secondary object included in the input content.08-15-2013

Patent applications in class Feature extraction

Patent applications in all subclasses Feature extraction