Patent application number | Description | Published |
20080212098 | METHOD AND APPARATUS FOR DETECTING FEATURE - A method includes detecting a feature of an input pattern using a plurality of feature detectors, selecting at least one of the feature detectors based on their output values, and calculating a feature quantity of the input pattern based on an output value from at least one selected feature detector. | 09-04-2008 |
20080212879 | METHOD AND APPARATUS FOR DETECTING AND PROCESSING SPECIFIC PATTERN FROM IMAGE - In an image within which a face pattern is detected, when a ratio of a skin color pixel is equal to or smaller than a first threshold value in a first region and a ratio of a skin color pixel is equal to or greater than a second threshold value in a second r region, the vicinity of the first region is determined to be a face candidate position at which the face pattern can exist. Face detection is carried out on the face candidate position. The second region is arranged in a predetermined position relative to the first region. | 09-04-2008 |
20080285861 | INFORMATION PROCESSING METHOD AND INFORMATION PROCESSING APPARATUS - Processing data which belong to different classes and label data indicating the classes to which the processing data belong are input (S | 11-20-2008 |
20090003709 | IMAGE 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 |
20090087040 | METHOD, APPARATUS, AND COMPUTER-READABLE STORAGE MEDIUM FOR PATTERN RECOGNITION - A pattern recognition method, applicable to input information including a plurality of regions, includes obtaining a certainty at which each region of the input information includes a pattern, selecting one or more regions having a relatively high-level certainty among the plurality of regions, and performing pattern detection processing on the selected region or regions. | 04-02-2009 |
20090089235 | PATTERN IDENTIFICATION METHOD, PARAMETER LEARNING METHOD AND APPARATUS - In a pattern identification method in which input data is classified into predetermined classes by sequentially executing a combination of a plurality of classification processes, at least one of the classification processes includes a mapping step of mapping the input data in an N (N≧2) dimensional feature space as corresponding points, a determination step of determining whether or not to execute the next classification process based on the corresponding points, and selecting step of selecting a classification process to be executed next based on the corresponding points when it is determined in the determination step that the next classification process should be executed. | 04-02-2009 |
20090116693 | IMAGE PROCESSING APPARATUS AND IMAGE PROCESSING METHOD - An image processing method is provided for an image processing apparatus which executes processing by allocating a plurality of weak discriminators to form a tree structure having branches corresponding to types of objects so as to detect objects included in image data. Each weak discriminator calculates a feature amount to be used in a calculation of an evaluation value of the image data, and discriminates whether or not the object is included in the image data by using the evaluation value. The weak discriminator allocated to a branch point in the tree structure further selects a branch destination using at least some of the feature amounts calculated by weak discriminators included in each branch destination. | 05-07-2009 |
20090157707 | PATTERN IDENTIFICATION UNIT GENERATION METHOD, INFORMATION PROCESSING APPARATUS, COMPUTER PROGRAM, AND STORAGE MEDIUM - A pattern identification unit generation method of generating a pattern identification unit in which a weak discriminator array obtained by cascade-connecting a plurality of weak discriminators branches, and weak discriminator arrays are connected to respective arms after branching, evaluates based on a processing result obtained by inputting a set of evaluation data to the weak discriminator array whether or not a weak discriminator array after branching reaches the number of stages to be connected. The number of stages of weak discriminators to be connected without branching as the weak discriminator array is determined based on this evaluation result. | 06-18-2009 |
20090324060 | LEARNING APPARATUS FOR PATTERN DETECTOR, LEARNING METHOD AND COMPUTER-READABLE STORAGE MEDIUM - A learning apparatus for a pattern detector, which includes a plurality of weak classifiers and detects a specific pattern from input data by classifications of the plurality of weak classifiers, acquires a plurality of data for learning in each of which whether or not the specific pattern is included is given, makes the plurality of weak classifiers learn by making the plurality of weak classifiers detect the specific pattern from the acquired data for learning, selects a plurality of weak classifiers to be composited from the weak classifiers which have learned, and composites the plurality of weak classifiers into one composite weak classifier based on comparison between a performance of the composite weak classifier and performances of the plurality of weak classifiers. | 12-31-2009 |
20100118163 | IMAGE CAPTURING APPARATUS AND IMAGE CAPTURING METHOD - In an image capturing apparatus, a video input unit ( | 05-13-2010 |
20100121798 | INFORMATION PROCESSING APPARATUS, INFORMATION PROCESSING METHOD, PATTERN RECOGNITION APPARATUS, AND PATTERN RECOGNITION METHOD - In a hierarchical neural network having a module structure, learning necessary for detection of a new feature class is executed by a processing module which has not finished learning yet and includes a plurality of neurons which should learn an unlearned feature class and have an undetermined receptor field structure by presenting a predetermined pattern to a data input layer. Thus, a feature class necessary for subject recognition can be learned automatically and efficiently. | 05-13-2010 |
20100201688 | IMAGE PROCESSING APPARATUS AND METHOD THEREOF - An image processing apparatus having an image sensing unit and a subject detection unit for performing a process of detecting a subject in an image inputted from said image sensing unit, has a detection size operation unit that sets a resolution of a target object to be detected by the subject detection unit, and an image conversion unit that converts a resolution of the input image, based on the resolution of the target object set by the detection size operation unit. The subject detection unit performs the process of detecting the subject in the image whose resolution has been converted by the image conversion unit. | 08-12-2010 |
20100205177 | OBJECT IDENTIFICATION APPARATUS AND METHOD FOR IDENTIFYING OBJECT - An object identification apparatus includes an image data input unit configured to input captured image data including an object, an object identification data generation unit configured to generate data for identifying the object by extracting a feature vector from a partial area of the input image data to convert the feature vector according to the partial area, an object dictionary data storage unit configured to store object dictionary data generated from previously recorded image data, and an object identification unit configured to identify a class to which the object belongs, which is included in the image data input by the image data input unit, based on the data for identifying the object and the object dictionary data. | 08-12-2010 |
20100296706 | IMAGE RECOGNITION APPARATUS FOR IDENTIFYING FACIAL EXPRESSION OR INDIVIDUAL, AND METHOD FOR THE SAME - A face detecting unit detects a person's face from input image data, and a parameter setting unit sets parameters for generating a gradient histogram indicating the gradient direction and gradient magnitude of a pixel value based on the detected face. Further, a generating unit sets a region (a cell) from which to generate a gradient histogram in the region of the detected face, and generates a gradient histogram for each such region to generate feature vectors. An expression identifying unit identifies an expression exhibited by the detected face based on the feature vectors. Thereby, the facial expression of a person included in an image is identified with high precision. | 11-25-2010 |
20100329556 | IMAGE CONVERSION METHOD AND APPARATUS, AND PATTERN IDENTIFICATION METHOD AND APPARATUS - In an image conversion method, a value which reflects the mutual relationship between the classes of pixel patterns each formed from a pixel classified as one of a plurality of classes and peripheral pixels is set as a converted value corresponding to each of the plurality of classes, a pixel of interest is sequentially selected from the input image, and a pixel pattern formed from the selected pixel of interest and a predetermined number of pixels around it is classified as one of the plurality of classes in accordance with a neighboring pattern obtained based on the relationship between the value of the pixel of interest and the values of peripheral pixels located at predetermined relative positions with respect to the pixel of interest. The value of the pixel of interest is converted into a converted value set for a class to which the pixel of interest has been classified. | 12-30-2010 |
20110010317 | INFORMATION PROCESSING APPARATUS ENABLING DISCRIMINATOR TO LEARN AND METHOD THEREOF - An information processing apparatus includes a preliminary learning unit configured to learn a preliminary discriminator for a respective one of a plurality of combinations of variations in variation categories in a discrimination target pattern, a branch structure determination unit configured to perform discrimination processing using the preliminary discriminator and to determine a branch structure of a main discriminator based on a result of the discrimination processing, and a main learning unit configured to learn the main discriminator based on the branch structure. | 01-13-2011 |
20110081089 | PATTERN PROCESSING APPARATUS AND METHOD, AND PROGRAM - Even when a local area is varied, degradation in recognition accuracy and detection accuracy is suppressed. To that end, a pattern processing apparatus includes a reference local area setting portion | 04-07-2011 |
20110091115 | FEATURE POINT POSITIONING APPARATUS, IMAGE RECOGNITION APPARATUS, PROCESSING METHOD THEREOF AND COMPUTER-READABLE STORAGE MEDIUM - A feature point positioning apparatus positions a plurality of feature points for a predetermined pattern in image data. The apparatus selectively executes first candidate decision processing which decides position candidates of the feature points and second candidate decision processing which decides position candidates of the feature points at a higher processing speed than the first candidate decision processing in accordance with an operation mode, and executes, when the operation mode is a high-speed mode in which an operation is executed at a higher speed than a normal mode, the second candidate decision processing for more feature points than in the normal mode; and corrects the position candidates of the plurality of feature points obtained by the first candidate decision processing and the second candidate decision processing based on a layout relationship among the plurality of feature points. | 04-21-2011 |
20110103695 | IMAGE 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 |
20110150286 | ESTIMATION APPARATUS, CONTROL METHOD THEREOF, AND PROGRAM - An estimation apparatus for estimating a position and orientation of an object, includes: a capturing unit adapted to capture an object targeted for position and orientation estimation, and generate a range image representing distance information from the capturing unit to the target object; a general estimation unit adapted to analyze the range image and estimate a general position and orientation of the target object; a plurality of identification units each adapted to estimate a detailed position and orientation of an object within a predetermined position and orientation range; a determination unit adapted to determine a priority order of the plurality of identification units, based on the general position and orientation estimated by the general estimation unit; and a detailed estimation unit adapted to estimate a detailed position and orientation of the target object, using the plurality of identification units in the priority order determined by the determination unit. | 06-23-2011 |
20110158536 | OBJECT 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 |
20110158540 | PATTERN RECOGNITION METHOD AND PATTERN RECOGNITION APPARATUS - A pattern recognition apparatus that recognizes a data attribute of input data calculates correlation values of feature quantities of corresponding local patterns between the input data and dictionary data for each of a plurality of dictionary data prepared for each data attribute, combines, for each data attribute, the calculated correlation values of local patterns of each dictionary datum to acquire a set of correlation values of each data attribute, integrates correlation values included in each set of correlation values of each data attribute to calculate a similarity of the input data for each data attribute, and identifies the data attribute of the input data based on the calculated similarity. | 06-30-2011 |
20110181719 | NETWORK CAMERA SYSTEM AND CONTROL METHOD THEREFORE - A network camera system is provided that detects an occurrence of a condition change at a periphery of an image pickup apparatus, obtains a direction of the detected condition change, and notifies a user of the occurrence of the condition change and a direction of the condition change on a display of a terminal device. | 07-28-2011 |
20110243398 | PATTERN RECOGNITION APPARATUS AND PATTERN RECOGNITION METHOD THAT REDUCE EFFECTS ON RECOGNITION ACCURACY, AND STORAGE MEDIUM - A pattern recognition apparatus that is lightweight for mounting, and reduces the effects of registration conditions or check conditions on recognition accuracy. Similarity sets for respective local features are calculated from a local feature of input data and local features of a plurality of pieces of dictionary data corresponding to the local feature of the input data. Integrated similarities are calculated by integrating a plurality of similarity sets in the local features according to a registration condition or a check condition. Dictionary data corresponding to the input data is identified based on the calculated integrated similarities. | 10-06-2011 |
20120033853 | INFORMATION PROCESSING APPARATUS, INFORMATION PROCESSING METHOD, AND STORAGE MEDIUM - The present invention refers to an information processing apparatus comprising: an obtaining unit adapted to obtain an image of an object; a face region detection unit adapted to detect a face region of the object from the image; an eye region detection unit adapted to detect an eye region of the object; a generation unit adapted to generate a high-resolution image and low-resolution image of the face region detected by the face region detection means; a first extraction unit adapted to extract a first feature amount indicating a direction of a face existing in the face region from the low-resolution image; a second extraction unit adapted to extract a second feature amount indicating a direction of an eye existing in the eye region from the high-resolution image; and an estimation unit adapted to estimate a gaze direction of the object from the first feature amount and the second feature amount. | 02-09-2012 |
20120045095 | IMAGE PROCESSING APPARATUS, METHOD THEREOF, PROGRAM, AND IMAGE CAPTURING APPARATUS - An image processing apparatus stores model information representing a subject model belonging to a specific category, detects the subject from an input image by referring to the model information, determines a region for which an image correction is to be performed within a region occupied by the detected subject in the input image, stores, for a local region of the image, a plurality of correction data sets representing correspondence between a feature vector representing a feature before correction and a feature vector representing a feature after correction, selects at least one of the correction data sets to be used to correct a local region included in the region determined to undergo the image correction, and corrects the region determined to undergo the image correction using the selected correction data sets. | 02-23-2012 |
20120045120 | INFORMATION PROCESSING APPARATUS AND INFORMATION PROCESSING METHOD - An information processing apparatus that discriminates the orientation of a target includes a calculation unit that calculates a distribution of a difference in feature amount between a plurality of learning patterns each showing the orientation of a target, a determination unit that determines, using a probability distribution obtained from the distribution of differences calculated by the calculation unit, a pixel that is in an input pattern and is to be referred to in order to discriminate the orientation of a target in the input pattern, and a discrimination unit that performs discrimination for obtaining the orientation of the target in the input pattern by comparing a feature amount of the pixel determined by the determination unit and a threshold set in advance. | 02-23-2012 |
20120047182 | INFORMATION PROCESSING APPARATUS, INFORMATION PROCESSING METHOD, AND STORAGE MEDIUM - An information processing apparatus comprises: a creation unit adapted to create a query string, which is composed of a plurality of queries; a reading unit adapted to read, from the query string, a query corresponding to a hierarchy of a current node in accordance with the hierarchy; a generation unit adapted to generate a plurality of nodes having a tree structure by dividing a learning pattern set in the current node in accordance with the read query corresponding to the hierarchy; and a modifying unit adapted to modify the tree structure by putting nodes in each hierarchy together into a common node with respect to nodes up to a hierarchy corresponding to a length of the query string among the nodes having the tree structure, which have been generated by the generation unit. | 02-23-2012 |
20120075500 | IMAGING APPARATUS, IMAGING METHOD, IMAGE PROCESSING APPARATUS, AND IMAGE PROCESSING METHOD - The present invention facilitates the setting of a condition for the execution of predetermined processing and enables the execution of processing conforming to a user's intention. In an image processing apparatus, a predetermined object is detected in an image selected based on an instruction from a user, a determination is made regarding an attribute of the detected object, and the determined attribute is set as an execution condition used when executing predetermined processing on an image. | 03-29-2012 |
20120082384 | IMAGE PROCESSING APPARATUS, IMAGE PROCESSING METHOD, AND PROGRAM - A feature point detection unit ( | 04-05-2012 |
20120189160 | LINE-OF-SIGHT DETECTION APPARATUS AND METHOD THEREOF - A line-of-sight detection apparatus includes a detection unit configured to detect a face from image data, a first extraction unit configured to extract a feature amount corresponding to a direction of the face from the image data, a calculation unit configured to calculate a line-of-sight reliability of each of a right eye and a left eye based on the face, a selection unit configured to select an eye according to the line-of-sight reliability, a second extraction unit configured to extract a feature amount of an eye region of the selected eye from the image data, and an estimation unit configured to estimate a line of sight of the face based on the feature amount corresponding to the face direction and the feature amount of the eye region. | 07-26-2012 |
20120275650 | METHOD AND APPARATUS FOR DETECTING AND PROCESSING SPECIFIC PATTERN FROM IMAGE - In an image within which a face pattern is detected, when a ratio of a skin color pixel is equal to or smaller than a first threshold value in a first region and a ratio of a skin color pixel is equal to or greater than a second threshold value in a second r region, the vicinity of the first region is determined to be a face candidate position at which the face pattern can exist. Face detection is carried out on the face candidate position. The second region is arranged in a predetermined position relative to the first region. | 11-01-2012 |
20130141570 | INFORMATION PROCESSING APPARATUS AND INFORMATION PROCESSING METHOD - A probability at which a target object takes a target object state is acquired for each of target object states that the target object is allowed to take, and a distribution of the probabilities is acquired. A success rate is acquired, for each relative target object state being determined in advance for a position and orientation of an image capturing device, at which the target object is successfully identified from a captured image obtained by capturing the target object having the relative target object state, and a distribution of the success rates is acquired. A position and orientation that the device is to take is determined based on the distribution of the success rates acquired for each of a plurality of positions and orientations that the image capturing apparatus is allowed to take, and the distribution of the probabilities. | 06-06-2013 |
20130142434 | INFORMATION PROCESSING APPARATUS, INFORMATION PROCESSING METHOD AND STORAGE MEDIUM - An information processing apparatus sets a plurality of reference locations of data in information as one reference location pattern and acquires a feature amount obtained from a value of data of one of the plurality of pieces of reference information in one reference location pattern for each of a plurality of reference location patterns and the plurality of pieces of reference information. The apparatus extracts data included in the input information according to each of the plurality of reference location patterns, selects the reference location pattern for classification of the input information from the plurality of reference location patterns based on a value of data included in the extracted input information, and executes classification of the input information by using the feature amount in the selected reference location pattern and data included in the input information at a reference location indicated by the reference location pattern. | 06-06-2013 |
20130142443 | INFORMATION PROCESSING METHOD, INFORMATION PROCESSING APPARATUS, AND RECORDING MEDIUM - The robustness of discriminating results at each stage is improved in discrimination processing in which a plurality of stages of discriminators are used to identify an object. An information processing apparatus in which a plurality of stages of the discriminators are used to identify a class of an object, comprises a candidate class output unit that acquires as a candidate class a class discriminated at a first stage of the discriminators, and an extended class setting unit that sets in a second stage of the discriminators, a class of a second stage of the discriminators, which is defined as an extended partial space of a partial space defined by a candidate class in a discriminating space used in discriminating the candidate class by the first stage of the discriminators, as a class to be discriminated at this second stage of the discriminators. | 06-06-2013 |
20130156303 | IMAGE PROCESSING APPARATUS AND IMAGE PROCESSING METHOD - An image processing method is provided for an image processing apparatus which executes processing by allocating a plurality of weak discriminators to form a tree structure having branches corresponding to types of objects so as to detect objects included in image data. Each weak discriminator calculates a feature amount to be used in a calculation of an evaluation value of the image data, and discriminates whether or not the object is included in the image data by using the evaluation value. The weak discriminator allocated to a branch point in the tree structure further selects a branch destination using at least some of the feature amounts calculated by weak discriminators included in each branch destination. | 06-20-2013 |
20130301885 | IMAGE PROCESSING DEVICE, IMAGING DEVICE, IMAGE PROCESSING METHOD - An image including a face is input (S | 11-14-2013 |
20130322770 | INFORMATION PROCESSING APPARATUS AND CONTROL METHOD THEREFOR - An information processing apparatus includes an image input unit which inputs image data containing a face, a face position detection unit which detects, from the image data, the position of a specific part of the face, and a facial expression recognition unit which detects a feature point of the face from the image data on the basis of the detected position of the specific part and determines facial expression of the face on the basis of the detected feature point. The feature point is detected at a detection accuracy higher than detection of the position of the specific part. Detection of the position of the specific part is robust to a variation in the detection target. | 12-05-2013 |