Abstract:
An image processing device according to the present invention includes: a patch generation unit which generates an input patch used for comparison on the basis of an input image; a modification parameter estimation unit which estimates a parameter used in blurred modification on the basis of the input image; a blurred image generation unit which generates a blurred image on the basis of a learning image by using the parameter; a patch pair generation unit which generates a patch pair used to compose a restoration image on the basis of the blurred image and the learning image; a selection unit which selects a patch pair used to compose the restoration image on the basis of the input patch; and a composition unit which composes the restoration image on the basis of the patch pair selected by the selection unit.
Abstract:
Provided is an image processing device that can bring about the sufficient resemblance between an original image and a restored image obtained corresponding to a low resolution input image. The image processing device includes a means that uses a dictionary for storing data associating deteriorated patches which are from a deteriorated image formed by deteriorating a prescribed image, and restoration patches which are from the prescribed image, and calculates, as a degree-of-similarity between plural input patches generated by dividing an input image and the deteriorated patches, a weighted degree-of-similarity between weighted deteriorated patches and weighted input patches, in which forms of the deteriorated patches and the input patches are reconfigured using a patch weight which is continuous weighting; a means that selects, on the basis of the weighted degree-of-similarity, a restoration patch for each input patch; and a means that combines the restoration patches to generate a restored image.
Abstract:
The present invention generates a highly-accurate restored image while reducing computation costs by obtaining a similar effect to when the adjacent similarity of restoration patches is taken into consideration.This image processing device is provided with: a provisional restoration image generation means that uses a dictionary for storing at least two sets of data having associated therein a blurred patch and a restoration patch, and that generates a provisional restoration image from restoration patches selected on the basis of a value indicating the degree of similarity between blurred patches and a plurality of input patches generated by partitioning an externally-received input image; a provisional patch generation means that generates provisional patches by partitioning the provisional restoration image; and a restoration means that generates a restored image from restoration patches selected on the basis of the combined value of a value indicating the degree of similarity between the input patches and the blurred patches, and a value indicating the degree of similarity between the provisional patches and the restoration patches.
Abstract:
To provide a system, a method and the like for acquiring more images or more quickly focused images. A control device acquires information regarding a situation of a range captured by an imaging device, determines a mode according to an assumed situation of the range captured by the imaging device among a plurality of focusing modes, and transmits designation information specifying the determined mode to the imaging device. The imaging device receives the designation information from the control device, and captures an image using the mode specified by the received designation information.
Abstract:
A visualized image display device includes an acquisition means for acquiring time-series feature data in which time-series data of a feature of an object in a video and an object ID are associated with each other, and classification data in which the object ID and a class ID labeled to the object are associated with each other; a selection means for selecting a class ID to be visualized, and a display control means for acquiring the object ID associated with the selected class ID from the classification data, acquiring time-series data associated with the acquired object ID from the time-series feature data, and on the basis of the acquired time-series data, displaying a feature image representing a temporal change of the feature of the object having the selected class ID, on a display unit.
Abstract:
The disclosure is inputting a first image obtained by capturing an object of authentication moving in a specific direction; inputting a second image at least for one eye obtained by capturing a right eye or a left eye of the object; determining whether the second image is of the left eye or the right eye of the object, based on information including the first image, and outputting a determination result associated with the second image as left/right information; comparing characteristic information relevant to the left/right information, the characteristic information being acquired from a memory that stores the characteristic information of a right eye and a left eye pertaining to object to be authenticated, with characteristic information associated with the left/right information, and calculating a verification score; and authenticating the object captured in the first image and the second image, based on the verification score, and outputting an authentication result.
Abstract:
To provide a system, a method and the like for acquiring more images or more quickly focused images. A control device acquires information regarding a situation of a range captured by an imaging device, determines a mode according to an assumed situation of the range captured by the imaging device among a plurality of focusing modes, and transmits designation information specifying the determined mode to the imaging device. The imaging device receives the designation information from the control device, and captures an image using the mode specified by the received designation information.
Abstract:
A camera calibration information acquisition device acquires captured images of a camera calibration target from two or more cameras, detects, from each image, a coordinate of a feature point in the image, calculates—an internal parameter for each camera by using the feature point, calculates, for each camera, a magnitude of error in the coordinate of the feature point, calculates a value for an external parameter of the cameras by using the magnitude of the error, the coordinate of the feature point, and an error function set so that a penalty for error in calculating the external parameter decreases as the magnitude of the error in the coordinate of the feature point in the image increases.
Abstract:
The disclosure is inputting a first image obtained by capturing an object of authentication moving in a specific direction; inputting a second image at least for one eye obtained by capturing a right eye or a left eye of the object; determining whether the second image is of the left eye or the right eye of the object, based on information including the first image, and outputting a determination result associated with the second image as left/right information; comparing characteristic information relevant to the left/right information, the characteristic information being acquired from a memory that stores the characteristic information of a right eye and a left eye pertaining to object to be authenticated, with characteristic information associated with the left/right information, and calculating a verification score; and authenticating the object captured in the first image and the second image, based on the verification score, and outputting an authentication result.
Abstract:
The disclosure is inputting a first image obtained by capturing an object of authentication moving in a specific direction; inputting a second image at least for one eye obtained by capturing a right eye or a left eye of the object; determining whether the second image is of the left eye or the right eye of the object, based on information including the first image, and outputting a determination result associated with the second image as left/right information; comparing characteristic information relevant to the left/right information, the characteristic information being acquired from a memory that stores the characteristic information of a right eye and a left eye pertaining to object to be authenticated, with characteristic information associated with the left/right information, and calculating a verification score; and authenticating the object captured in the first image and the second image, based on the verification score, and outputting an authentication result.