Patent application number | Description | Published |
20080285791 | IMAGE PROCESSING APPARATUS AND CONTROL METHOD FOR SAME - A person is detected as a subject from an image obtained by image capture, and information, for example, the number of such subjects, is obtained as subject-related information. Then, the greater the number of subjects, the more a setting of a condition that the subjects should satisfy is relaxed. As a result, in an image processing apparatus having a function that identifies a subject state, the usability of that function that identifies the subjects can be improved even in a case in which multiple subjects are present. | 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 |
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 |
20090219405 | INFORMATION 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. | 09-03-2009 |
20100118163 | IMAGE CAPTURING APPARATUS AND IMAGE CAPTURING METHOD - In an image capturing apparatus, a video input unit ( | 05-13-2010 |
20100189358 | FACIAL EXPRESSION RECOGNITION APPARATUS AND METHOD, AND IMAGE CAPTURING APPARATUS - A facial expression recognition apparatus includes an image input unit configured to sequentially input images, a face detection unit configured to detect faces in images obtained by the image input unit, and a start determination unit configured to determine whether to start facial expression determination based on facial image information detected by the face detection unit. When the start determination unit determines that facial expression determination should be started, an acquisition unit acquires reference feature information based on the facial image information detected by the face detection unit and a facial expression determination unit extracts feature information from the facial image information detected by the face detection unit and determines facial expressions of the detected faces based on the extracted feature information and the reference feature information. | 07-29-2010 |
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 |
20110032378 | FACIAL EXPRESSION RECOGNITION APPARATUS, IMAGE SENSING APPARATUS, FACIAL EXPRESSION RECOGNITION METHOD, AND COMPUTER-READABLE STORAGE MEDIUM - A facial expression recognition apparatus ( | 02-10-2011 |
20110267489 | IMAGE PROCESSING APPARATUS CONFIGURED TO DETECT OBJECT INCLUDED IN IMAGE AND METHOD THEREFOR - An image processing apparatus acquires a plurality of input images which are serially photographed, detects a plurality of object regions from each input image, and associates object regions in a past input image with object regions in a current input image. If any object region that has not been appropriately associated exists in the object regions detected from the past input image, the apparatus calculates object region movement information for each size of the object region based on the object regions mutually associated between the past input image and the current input image, and estimates a position of the object region of the current input image that has not been associated based on the movement information for each size of the object region and a size of the object region that has not been associated. | 11-03-2011 |
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 |
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 |
20120148159 | INFORMATION 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 |
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 |
20120269389 | INFORMATION PROCESSING APPARATUS, METHOD OF CONTROLLING INFORMATION PROCESSING APPARATUS, AND STORAGE MEDIUM - An information processing apparatus comprising: an obtaining unit configured to obtain image data; a detection unit configured to detect an object from the image data; an attribute determination unit configured to determine an attribute indicating a characteristic of the object detected by the detection unit; a registration unit configured to register the image data in at least one of a plurality of dictionaries based on the attribute determined by the attribute determination unit; and an adding unit configured to add, when the image data is registered in not less than two dictionaries, link information concerning the image data registered in the other dictionary to the image data registered in one dictionary. | 10-25-2012 |
20120269405 | INFORMATION PROCESSING APPARATUS, PROCESSING METHOD FOR THE SAME, NON-TRANSITORY COMPUTER-READABLE STORAGE MEDIUM AND IMAGE CAPTURING APPARATUS - An information processing apparatus includes a face detection unit configured to detect a face of a person from an image; a storage unit configured to store dictionary data which holds information relating to faces and line-of-sight correction data corresponding to respective persons; an authentication unit configured to authenticate a person corresponding to the face detected by the face detection unit, using the information relating to faces in the dictionary data; a line-of-sight detection unit configured to detect information relating to a line of sight from the face detected by the face detection unit; and a line-of-sight correction unit configured to correct the information relating to a line of sight detected by the line-of-sight detection unit, using the line-of-sight correction data in the dictionary data corresponding to the person authenticated by the authentication unit. | 10-25-2012 |
20130100270 | IMAGE PROCESSING APPARATUS AND CONTROL METHOD FOR SAME - A person is detected as a subject from an image obtained by image capture, and information, for example, the number of such subjects, is obtained as subject-related information. Then, the greater the number of subjects, the more a setting of a condition that the subjects should satisfy is relaxed. As a result, in an image processing apparatus having a function that identifies a subject state, the usability of that function that identifies the subjects can be improved even in a case in which multiple subjects are present. | 04-25-2013 |
20130142401 | IMAGE PROCESSING APPARATUS AND IMAGE PROCESSING METHOD - The image processing apparatus detects a region of a subject from an input image, and extracts an image feature amount from the region. Also, the apparatus classifies the subject into any one of plural attributes based on the image feature amount, and estimates, based on the image feature amount and an attribute into which it is classified, an attribute value of the subject belonging to the attribute into which it is classified. | 06-06-2013 |
20130142426 | IMAGE RECOGNITION APPARATUS, CONTROL METHOD FOR IMAGE RECOGNITION APPARATUS, AND STORAGE MEDIUM - An image recognition apparatus comprises an image obtainment unit configured to obtain an image; a region setting unit configured to set at least one local region in the image; a feature extraction unit configured to extract feature patterns from the local region; a setting unit configured to set, out of a plurality of bins corresponding to a plurality of patterns which can form the feature patterns, bins that have been predetermined in accordance with a type of the local region as histogram bins used in generating a histogram; a generation unit configured to generate a histogram corresponding to the extracted feature patterns using the set histogram bins; and a recognition unit configured to perform image recognition using the generated histogram. | 06-06-2013 |
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 |
20140270376 | FACIAL EXPRESSION RECOGNITION APPARATUS, IMAGE SENSING APPARATUS, FACIAL EXPRESSION RECOGNITION METHOD, AND COMPUTER-READABLE STORAGE MEDIUM - A facial expression recognition apparatus ( | 09-18-2014 |
20140285683 | LINE-OF-SIGHT DETECTION APPARATUS AND IMAGE CAPTURING APPARATUS - A line-of-sight detection apparatus is configured to calculate a mean luminance value in an eye area of a face image, determine that an object is a person whose iris area is blue or green in a case in which the calculated mean luminance value is equal to or greater than a predetermined value, determine a correction parameter for correcting the eye area based on the determined color of the iris area, and generate a luminance image in which the eye area is corrected by using the determined correction parameter. Thus, the line-of-sight detection apparatus detects a line of sight with high accuracy regardless of the color of the iris area. | 09-25-2014 |
20150146991 | IMAGE PROCESSING APPARATUS AND IMAGE PROCESSING METHOD OF IDENTIFYING OBJECT IN IMAGE - The degree of similarity between corresponding local feature amounts out of a plurality of local feature amounts of the object in the input image and a plurality of local feature amounts of an object in an image registered in advance is obtained. At least one degree of similarity is selected out of the obtained degrees of similarity based on a capturing condition for the object in the input image and a capturing condition for the object in the registered image, and one degree of similarity is derived from the at least one selected degree of similarity. It is determined based on the one derived degree of similarity whether the object in the input image belongs to the same category as the object in the registered image. | 05-28-2015 |
20150278584 | OBJECT DISCRIMINATING APPARATUS AND METHOD - An object discriminating apparatus is provided with an obtaining unit configured to obtain an input image including an object; an extracting unit configured to extract a feature from the input image; a calculating unit configured to calculate, by collating the feature extracted from the input image and a feature of a previously registered registration image with each other, similarity between the object included in the input image and an object included in the registration image; a deriving unit configured to derive a difference between a variation in the input image and a variation in an output image; a converting unit configured to convert the calculated similarity on the basis of the derived difference between the variations; and a deciding unit configured to decide, on the basis of the converted similarity, whether or not the object included in the input image is identical with the object included in the registration image. | 10-01-2015 |
20150356348 | FACIAL EXPRESSION RECOGNITION APPARATUS, IMAGE SENSING APPARATUS, FACIAL EXPRESSION RECOGNITION METHOD, AND COMPUTER-READABLE STORAGE MEDIUM - A facial expression recognition apparatus ( | 12-10-2015 |
20160034782 | APPARATUS AND METHOD OF COLLATING CATEGORIES OF IMAGES - An image processing apparatus includes: a holding unit that holds a plurality of images; a condition checking unit that checks imaging conditions of the plurality of images; a collation determining unit that determines whether to collate images among the plurality of images based on the imaging conditions of the images; a collation unit that collates the images determined to be collated by the collation determining unit to obtain a degree of similarity; and a classifying unit that classifies the collated images into a same category when the degree of similarity is equal to or greater than a predetermined threshold. | 02-04-2016 |
Patent application number | Description | Published |
20090012278 | Promoter For Hard Tissue Formation - The present invention provides an agent which induces acceleration of hard tissue formation, acceleration of cell differentiation and increase in cellular alkaline phosphatase activity, by directly acting on the cell. Specifically, it provides a hard tissue formation promoter, a cell differentiation inducer and a cellular alkaline phosphatase activity reinforcing agent comprising, as an active ingredient, a glycosaminoglycan or a salt thereof that keeps sulfate group and has the characteristics of the following (1) and (2): (1) a basic structure is a disaccharide repeating structure consisting of a hexuronic acid residue and a glucosamine residue, (2) one or less of the position among a 2-position hydroxyl group of a hexuronic acid residue, a 6-position hydroxyl group of a glucosamine residue and a 2-position amino group of the glucosamine residue in the basic structure of the aforementioned (1) does not have the sulfate group. In this connection, it is preferable that the hexuronic acid residue is a glucuronic acid residue or an iduronic acid residue. | 01-08-2009 |
20090137482 | BIOLOGICALLY ACTIVE PEPTIDE AND AGENT CONTAINING THE SAME - A peptide having any one of the amino acid sequences of SEQ ID NO: 1 or 13, preferably a peptide having any one of the amino acid sequences of SEQ ID NOS: 2 to 9 or a peptide having any one of the amino acid sequences of SEQ ID NOS: 10 and 15 to 17, is used as an active ingredient of an agent for promoting growth or differentiation of cells such as osteoblasts, chondroblasts, cementoblasts, bone marrow-derived mesenchymal stem cells and periodontal ligament-derived cells. | 05-28-2009 |
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 |
20110288048 | PROMOTER FOR HARD TISSUE FORMATION - The present invention provides an agent which induces acceleration of hard tissue formation, acceleration of cell differentiation and increase in cellular alkaline phosphatase activity, by directly acting on the cell. Specifically, it provides a hard tissue formation promoter, a cell differentiation inducer and a cellular alkaline phosphatase activity reinforcing agent comprising, as an active ingredient, a glycosaminoglycan or a salt thereof that keeps sulfate group and has the characteristics of the following (1) and (2): (1) a basic structure is a disaccharide repeating structure consisting of a hexuronic acid residue and a glucosamine residue, (2) one or less of the position among a 2-position hydroxyl group of a hexuronic acid residue, a 6-position hydroxyl group of a glucosamine residue and a 2-position amino group of the glucosamine residue in the basic structure of the aforementioned (1) does not have the sulfate group. In this connection, it is preferable that the hexuronic acid residue is a glucuronic acid residue or an iduronic acid residue. | 11-24-2011 |