Abstract: An image processing apparatus comprises a detecting unit which detects an object from an input image, an extracting unit which extracts a feature amount of the object detected by the detecting unit, a similarity calculating unit which, in a case where a plurality of objects have been detected from the same input image by the detecting unit, calculates a degree of similarity of feature amounts of the plurality of objects, and an adjusting unit which adjusts a collating method of collating the plurality of objects based on respective feature amounts, on the basis of the degree of similarity calculated by the similarity calculating unit.

Abstract: An identification apparatus includes an acquisition unit configured to acquire input data and an identification unit configured to identify a class to which the acquired input data belongs based on a classifier configured to identify a class to which the data belongs from among a plurality of classes that includes two or more classes having been set beforehand.

Abstract: 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.

Abstract: An image recognizing apparatus comprises: an extracting unit extracting a partial feature quantity from an object in each of a registration image and an input image; a compressing unit reducing a dimension of the extracted partial feature quantity; a storing unit storing the partial feature quantity of the object in the registration image of which the dimension has been reduced; and a calculating unit calculating similarity between the object in the input image and the object in the registration image, using the partial feature quantity of the object in the input image of which the dimension has been reduced and the partial feature quantity of the object in the stored registration image. The compressing unit switches the reduction of the dimension of the partial feature quantity using a preset dimension compression parameter and the reduction of the dimension of the partial feature quantity by dynamically generating a dimension compression parameter.

Abstract: An image processing apparatus stores, as instance images, a plurality of face images obtained by photographing respective faces of a plurality of persons on a plurality of photographing conditions, while associating the persons with the photographing conditions for each part; obtains the photographing condition of the input face image; approximates the respective parts of the input face images, by a combination of the instance images of the plurality of persons stored in association with the parts and the obtained photographing conditions; decides, for each part of the input face image, a combination corresponding to the combination in the approximation from the instance images of the plurality of persons stored in association with the part and a predetermined photographing condition; and generates an image obtained by photographing the input face image on the predetermined photographing condition, by synthesizing the obtained combination on the whole input face image.

Abstract: An image retrieving apparatus is equipped with: an image obtaining unit for obtaining a plurality of images; a category obtaining unit for obtaining a category to which each of the obtained images belongs; a basic searching unit, for searching a specific image including a specific object, from the obtained images; a counting unit for counting the number of the specific images for each category obtained; a determining unit for determining whether or not an additional search for the specific image is necessary for each category, based on the counted number of the specific images of each category; and an additional searching unit for searching the specific image from among the images which belong to the category for which it has been determined that the additional search is necessary and from which the searched specific image has been excluded.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: An image recognizing apparatus comprises: an extracting unit extracting a partial feature quantity from an object in each of a registration image and an input image; a compressing unit reducing a dimension of the extracted partial feature quantity; a storing unit storing the partial feature quantity of the object in the registration image of which the dimension has been reduced; and a calculating unit calculating similarity between the object in the input image and the object in the registration image, using the partial feature quantity of the object in the input image of which the dimension has been reduced and the partial feature quantity of the object in the stored registration image. The compressing unit switches the reduction of the dimension of the partial feature quantity using a preset dimension compression parameter and the reduction of the dimension of the partial feature quantity by dynamically generating a dimension compression parameter.

Abstract: A projector that displays a video image based on display data obtains procedure information corresponding to a procedure of a plurality of user operations performed to identify display data and displays a video image indicating the obtained procedure information.

Abstract: 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.