Abstract:
In order to ensure that similarity is detected with high accuracy, regardless of the types of images constituting a group of images to be evaluated for similarity, the image processing device includes difference calculation means 11 for deforming one of two or more images constituting an image group in one or more deforming ways, and calculating a degree of difference between the deformed image and the other image or images in the image group for each pixel using multiple ways for similarity evaluation, normalization means 12 for normalizing each degree of difference by each of the multiple ways for similarity evaluation, and difference integration means 15 for integrating normalized degrees of difference.
Abstract:
In the present invention, a first image acquisition means 81 acquires a first image of an inspection target including an abnormal part. A second image acquisition means 82 acquires a second image of the inspection target captured earlier than the time when the first image is captured. A learning data generation means 83 generates learning data indicating that the second image includes an abnormal part. A learning means 84 learns a discrimination dictionary by using the learning data generated by the learning data generation means 83.
Abstract:
The disclosure is an information processing device including: a memory; and at least one processor coupled to the memory and performing operations. The operations includes: generating, based on a target image including a target and a standard image not including the target, a target structure image indicating a shape feature of an object included in the target image and a standard structure image indicating a shape feature of an object included in the standard image, in each of a plurality of imaging conditions; calculating an individual difference being a difference between the target structure image and the standard structure image, and a composite difference based on the individual differences; calculating an individual smoothness being a smoothness of the target structure image, and a composite smoothness based on the individual smoothness; and generating a silhouette image of the target, based on the composite difference and the composite smoothness.
Abstract:
The present invention provides an information processing device in which a degradation process of an input image is accurately estimated and a dictionary necessary for generating a desired restored image from the input image can be obtained. The information processing device is provided with: an image acquisition means that acquires a plurality of study images and an input image; and an estimation means that, on the basis of similarity between an arbitrary region of the input image and each of a plurality of degradation images in a case where regions of the study images corresponding to the arbitrary region are degraded on the basis of each of the plurality of degradation processes, outputs an estimated degradation process corresponding to the degradation process corresponding to the region of the input image.
Abstract:
An image processing apparatus includes: a three-dimensional point cloud segmentation unit for segmenting a three-dimensional point cloud of an object using clustering parameters so that the smaller the distance between points in the three-dimensional point cloud is, the more likely the points are to be clustered into the same cluster; a cluster mapping unit for generating a mapped point cloud by mapping clusters of the three-dimensional point cloud to a two-dimensional image based on the correspondence between the coordinates of the three-dimensional point cloud and the coordinates of pixels of the two-dimensional image; a label matching unit for assigning labels to points in the mapped point cloud based on a target label and position information in the two-dimensional image; a matching result voting unit for voting for labels of the points; and a label determination unit for determining the label for the points based on voting results.
Abstract:
The learning device includes an acquisition unit, a learning data generation unit, and a learning processing unit. The acquisition unit acquires operation data generated during an operation of a radar device and the operation history data indicating operations performed by an operator on the radar device from the radar device. The learning data generation unit generates the learning data using the operation data and the operation history data. The learning processing unit learns an operation determination model that determines an operation to be performed on the radar device based on the operation data, using the learning data.
Abstract:
A learning device makes an object detection device learn how to detect an object from an input image. A feature extraction unit performs feature extraction from input images including real images and pseudo images to generate feature maps, and the object detection unit detects objects included in the input images based on the feature maps. The domain identification unit identifies the domains forming the input images and generates domain identifiability information. Then, the feature extraction unit and the object detection unit learn common features that do not depend on the difference in domains, based on the domain identifiability information.
Abstract:
A first-aid information provision system of the example embodiments includes: an information display device that includes first capture means for capturing an iris image, code acquisition means for acquiring a code associated with the captured iris image, and code display means for displaying the acquired code; and an information output device that includes second capture means for imaging the code displayed by the information display device, first-aid information acquisition means for acquiring first-aid information about an individual associated with the iris image by using the imaged code, and first-aid information output means for outputting the first-aid information.
Abstract:
The disclosure is detecting an authentication target who is moving in a predetermined direction in a video; inputting a first image in which an entire body of the target; calculating characteristic information from an image of the entire body in the first image, comparing the calculated characteristic information with characteristic information of the entire body stored in first memory that stores characteristic information of entire bodies of targets, and extracting candidate information of the targets from the first memory based on a first authentication result; inputting a second image in which an iris of the target; and comparing characteristic information of irises stored in second memory that stores the characteristic information of the irises of targets with characteristic information of an iris from the second image, calculating a verification score, executing second authentication on the target in the second image based on the verification score, and outputting an authentication result.
Abstract:
A manufacturing management device 100 includes an acquisition unit 121 that acquires unique information of a product from a captured image of the product captured in a manufacturing step included in a manufacturing process of the product, and acquires operation information representing an operation of a person who performs a manufacturing work on the product in the manufacturing step, and an association unit 122 that sores the acquired unique information of the product and the acquired operation information in association with each other.