Abstract: An image recognition device has a database in which pieces of feature data of a plurality of objects are registered while divided into classes for each of the plurality of objects; an identification unit that identifies an unknown object by evaluating which feature data of the class registered in the database is most similar to feature data obtained from an image of the unknown object, and a feature data registration unit that registers feature data in the database. The database is capable of setting a plurality of classes to an identical object. The feature data registration unit, in adding new feature data with respect to a first object already registered in the database, sets a new class other than an existing class with respect to the first object.

Abstract: An image recognition apparatus is provided, comprising: an extraction unit extracting feature amount data of a subject from an image; a database registering a plurality of pieces of feature amount data extracted from different images of one registered object; and a comparing unit identifying whether or not the subject is the registered object by comparing the feature amount data extracted by the extraction unit and the feature amount data of the registered object registered in the database, a registration unit, using an image for registration, adding feature amount data of the registered object to the database in accordance with a predetermined condition which includes a first condition: if new data, which is the feature amount data extracted from the image for registration, is similar to registered data, which is the feature amount data of the registered object already registered in the database, the new data is not added.

Abstract: An identification apparatus performs classification using a plurality of classifiers, and calculates the reliability of its classification result. A data obtaining unit obtains input data. A feature quantity obtaining unit obtains a feature quantity corresponding to the input data. A plurality of classifiers receive input of the feature quantity and perform classification based on the input feature quantity. An identification unit inputs the feature quantity into each of the classifiers, and generates a single second classification result based on a plurality of classification results obtained from the classifiers. A reliability generation unit generates a reliability of the second classification result based on variations across the plurality of classification results.

Abstract: An image display apparatus configured to zoom display an image to be displayed on a display area has a position specifying unit that specifies a position of an object contained in a displayed image, a position deciding unit that decides a positional relationship between an outer frame of the display area and the position of the object, and a zoom speed changing unit that changes a zoom speed in the zoom display depending on the decided positional relationship.

Abstract: A feature value extraction section extracts a feature value from a pixel or a group of pixels of a sampling point for every plurality of sampling points for a reference point with respect to a region point on an image, and extracts a group of feature values with respect to the reference point; the location information identification section references an LRF function indicating a correspondence of the group of feature values with respect to the reference point and the location information indicating a relative location of the region point with respect to the reference point to identify the location information corresponding to the group of feature values extracted by the feature value extraction section, and the region point identification section assumes the location indicated by the location information identified by the location information identification section as a region point of the object.

Abstract: An image display apparatus includes: a display screen; an image output unit configured to output an image to the display screen; a region setting unit configured to extract one or more objects included in the image and to set a first region, which is a region corresponding to each of the objects; an operation acquisition unit configured to acquire a coordinate on the display screen that has been designated by a user; and an image zooming unit configured to zoom in the image, which is being displayed, on the basis of the designated coordinate. The image zooming unit zooms in the object included in the first region when the designated coordinate is within the first region.

Abstract: To prevent improper authentication, a authentication device includes a visual-line detecting unit configured to detect a visual line direction of a user, an authentication-permission visual-line direction setting unit configured to set an authentication permission visual-line direction, a biometric deciding unit configured to execute authentication by deciding whether a detected visual line direction is an authentication permission visual-line direction, and a display control unit configured to cause a display unit to display an image showing a type of a visual line direction in setting an authentication permission visual-line direction and configured to cause the display unit not to display the image in executing authentication.

Abstract: Provided is an individual identification device including: a biometric information storage unit; a biometric information acquisition unit; an identification unit which calculates a similarity of the biometric information on the subject and the registrant and performs identification of the subject according to whether or not the calculated similarity is equal to or higher than an identification threshold; an identification result storage unit which stores identification result information constituted by the calculated similarity and a correct identification result; and a threshold setting unit which sets the identification threshold such that at least either one of a false rejection rate and a false acceptance rate fulfils a predetermined condition in the identification result information stored in the identification result storage unit.

Abstract: A portrait generating device has an image acquisition unit that acquires a facial image in which an object person is photographed, an image correction unit that generates a corrected facial image by performing correction processing on the facial image, at least a part of the face being corrected in the correction processing, and a portrait generator that generates a portrait of the object person using the corrected facial image.

Abstract: An identification apparatus performs classification using a plurality of classifiers, and calculates the reliability of its classification result. A data obtaining unit obtains input data. A feature quantity obtaining unit obtains a feature quantity corresponding to the input data. A plurality of classifiers receive input of the feature quantity and perform classification based on the input feature quantity. An identification unit inputs the feature quantity into each of the classifiers, and generates a single second classification result based on a plurality of classification results obtained from the classifiers. A reliability generation unit generates a reliability of the second classification result based on variations across the plurality of classification results.

Abstract: An image processing apparatus for extracting an area of a detection target from an image includes an image input section that acquires an image, an image generation section that generates a plurality of images with different resolutions from the image, and a segmentation section that performs segmentation using the plurality of images with the different resolutions. The segmentation section segments an image with a low resolution and then segmenting an image with a high resolution using, as a processing target area, an area in the image with the high resolution corresponding to an area near a boundary resulting from processing of the segmentation of the image with the low resolution.

Abstract: An image processing device comprises a part-point specifying unit configured to specify a part point of an object; a feature-quantity extracting unit configured to extract one or a plurality of feature quantities from a pixel of a sampling point or from a pixel group including the pixel of the sampling point, for each of a plurality of sampling points, and extract candidate feature quantities corresponding to the part point constituted by the extracted plurality of feature quantities corresponding to the respective sampling points, the plurality of sampling points comprising the part point specified by the part-point specifying unit and at least one point on the image other than the part point; and a feature-quantity generating unit configured to generate one or a plurality of comparison feature quantities corresponding to the part points based on a predetermined standard by using the candidate feature quantities extracted by the feature-quantity extracting unit.

Abstract: A face authentication device has a face image acquisition unit that continuously acquires face images of a user, a user identification unit that identifies the user based on a first face image acquired by the face image acquisition unit, a parameter acquisition unit that acquires a face parameter based on a second face image acquired by the face image acquisition unit, the face parameter being a parameter associated with a facial expression or a face direction of the user, a tracking unit that extracts a region of a part of a face included in the first face image, and to track the region between the plurality of continuously-acquired face images, and an authentication unit that makes a determination of successful authentication when the user identified by the user identification unit is a registered user, when the acquired face parameter satisfies a predetermined condition.

Abstract: An image recognition device has a database in which pieces of feature data of a plurality of objects are registered while divided into classes for each of the plurality of objects; an identification unit that identifies an unknown object by evaluating which feature data of the class registered in the database is most similar to feature data obtained from an image of the unknown object, and a feature data registration unit that registers feature data in the database. The database is capable of setting a plurality of classes to an identical object. The feature data registration unit, in adding new feature data with respect to a first object already registered in the database, sets a new class other than an existing class with respect to the first object.

Abstract: An image processing apparatus has an image acquiring unit that acquires an image; and, a feature amount acquiring unit that acquires feature amounts that correspond to the acquired image by performing a predetermined arithmetic operation on the image, and outputs the acquired feature amounts. When the acquired feature amounts include a negative value, the feature amount acquiring unit replaces the negative value with the absolute value of the negative value.

Abstract: An image display apparatus includes: a display screen; an image output unit configured to output an image to the display screen; a region setting unit configured to extract one or more objects included in the image and to set a first region, which is a region corresponding to each of the objects; an operation acquisition unit configured to acquire a coordinate on the display screen that has been designated by a user; and an image zooming unit configured to zoom in the image, which is being displayed, on the basis of the designated coordinate. The image zooming unit zooms in the object included in the first region when the designated coordinate is within the first region.

Abstract: An image processing apparatus for extracting an area of a detection target from an image includes an image input section that acquires an image, an image generation section that generates a plurality of images with different resolutions from the image, and a segmentation section that performs segmentation using the plurality of images with the different resolutions. The segmentation section segments an image with a low resolution and then segmenting an image with a high resolution using, as a processing target area, an area in the image with the high resolution corresponding to an area near a boundary resulting from processing of the segmentation of the image with the low resolution.

Abstract: An authentication apparatus comprises an extraction part configured to extract a feature of a face from a face image of a user; a plurality of classifiers configured to identify the user by determining whether or not the feature extracted by the extraction part matches a feature of a face stored in a storage apparatus; a deriving part configured to derive a specific condition based on at least one of the feature extracted by the extraction part and information for authenticating the user; a selecting part configured to select at least one of the classifiers based on the specific condition; and an authentication part configured to authenticate the user when the selected classifier determines that the feature extracted by the extraction part matches the feature of the face stored in the storage.

Abstract: To prevent actions other than gestures from being falsely recognized as gestures by a gesture recognition device that recognizes gestures performed by a user. A gesture recognition device that acquires a gesture performed by a user and generates a command corresponding to said gesture, includes: a gesture acquisition unit for acquiring a gesture performed by a user; a gaze tracking unit for acquiring the user's movement of gaze; a gaze pattern determination unit for determining whether the movement of gaze satisfies a prescribed pattern; a gesture selection unit selecting a valid gesture acceptable as input when the movement of gaze satisfies a prescribed pattern; and a command generating unit for generating a command corresponding to the acquired gesture only if said acquired gesture is a valid gesture. Thus, the gesture recognition device that recognizes gestures performed by a user can prevent actions other than gestures from being falsely recognized as gestures.

Abstract: A gesture input device that controls a control device on the basis of a gesture action of a user has a gesture detecting unit that detects a gesture from an image picked up by a camera, a first gesture determining unit that determines that the gesture detected by the gesture detecting unit includes a first gesture, a second gesture determining unit that determines that the gesture detected by the gesture detecting unit includes a second gesture, and a control signal generating unit that sets a period in which the first gesture determining unit determines that the gesture includes the first gesture as a second gesture valid period in which recognition of the second gesture is valid and generates a control signal on the basis of the second gesture when the second gesture determining unit determines that the gesture includes the second gesture in the second gesture valid period.