Abstract:
A likelihood of each of a plurality of registered images belonging to a same group for an input image is calculated, and a prescribed number of registered images is selected from a top ranking in descending order of likelihood among the plurality of registered images as the authentication result for the input image. Based on a likelihood of a registered image included in an authentication result for an input image of a first frame and a likelihood of a registered image included in an authentication result for an input image of a second frame being previous to the first frame, one of the authentication result for the input image of the first frame and the authentication result for the input image of the second frame is displayed.
Abstract:
There is provided with a signal processing method. A filtering result is generated by performing spatial filtering on multi-dimensional data. Encoding result data is output by encoding the filtering result using a value at a pixel of interest of the filtering result and a value at a reference pixel located at a relative position with respect to the pixel of interest. The relative position of the reference pixel is decided in advance according to a characteristic of a spatial filter used in the spatial filtering step.
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 processing apparatus includes an imaging unit, a determination unit, and a discrimination unit. The imaging unit images a target object using signals in a predetermined wavelength band in which a spectral transmittance of a specific substance of a plurality of substances on a surface of the target object is different from a spectral transmittance of the other substances of the plurality of substances. The determination unit determines a distribution state of the specific substance on the surface of the target object based on an image captured by the imaging unit. The discrimination unit discriminates a class to which the target object belongs based on the distribution state of the specific substance.
Abstract:
An image processing apparatus includes an imaging unit, a determination unit, and a discrimination unit. The imaging unit images a target object using signals in a predetermined wavelength band in which a spectral transmittance of a specific substance of a plurality of substances on a surface of the target object is different from a spectral transmittance of the other substances of the plurality of substances. The determination unit determines a distribution state of the specific substance on the surface of the target object based on an image captured by the imaging unit. The discrimination unit discriminates a class to which the target object belongs based on the distribution state of the specific substance.
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 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 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 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.