A method and a system for using tomosynthesis projection images of a patient's breast to reconstruct slice tomosynthesis images such that anatomical structures that appear superimposed in a mammogram are at conforming locations in the reconstructed images.

A system and method are disclosed for providing a promotion associated with a transaction account. Target viewer information associated with at least one person targeted to receive an ad is identified. In accordance with the target viewer information and the ad, a probability of the at least one person to accept the promotion is determined. Promotion information associated with the promotion is selected as a function of the determined probability, and the promotion information is transmitted to a computing device associated with the at least one person. An acceptance of the promotion is received from the computing device associated with the at least one person, and processed to associate the promotion with the transaction account.

Provided is an information processing apparatus including an image supply unit that supplies a plurality of input images showing corresponding objects to an image processing unit and obtains a plurality of object images as an image processed result from the image processing unit, and a display control unit that synchronously displays the plurality of object images that have been obtained. The object images are regions including the corresponding objects extracted from the plurality of input images, and orientations, positions, and sizes of the corresponding objects of the plurality of object images are unified.

Systems and methods related to simulated light-in-flight imaging are described. A computing device may execute a light-in-flight engine to process an optical image and a corresponding depth map to produce a light-in-flight image or video that simulates propagation of a wavefront across a scene. The light-in-flight engine may generate an optical simulation output by transforming a depth map to a three-dimensional lift domain to produce a three-dimensional data structure, then convolving the three-dimensional data structure with a convolutional operator, which may define a Gaussian sphere, to produce a filtered three-dimensional data structure. The light-in-flight engine then affine transforms the optical image with an identified slice of the filtered three-dimensional data structure to produce a light-in-flight image.

Disclosed herein is an image sensor with two radiation detectors, each having a planar surface for receiving radiation; and a calibration pattern. The planar surfaces of the radiation detectors are not coplanar. The image sensor can capture images of two portions of the calibration pattern, respectively using the radiation detectors. The image sensor can determine two transformations for the radiation detectors based on the images of the portions of the calibration pattern, respectively. The image sensor can capture images of two portions of a scene, respectively using the radiation detectors, determine projections of the images of the portions of the scene onto an image plane using the transformations, respectively, and form an image of the scene by stitching the projections.

An image processing apparatus comprises: a model obtaining unit configured to obtain a learned model that has learned, based on a position of a predetermined feature point, a contour of a target in an image obtained by capturing the target; an image obtaining unit configured to obtain an input image; a position obtaining unit configured to obtain a position of an input point input on the input image by a user; a normalization unit configured to obtain a normalized image generated by coordinate-transforming the input image such that the position of the input point matches the position of the predetermined feature point in the learned model; and an estimation unit configured to estimate the contour of the target in the input image using the normalized image and the learned model.

Systems and methods are disclosed for automatically aligning drawings. One method comprises receiving a source drawing and a target drawing, determining main axes of the source and target drawings respectively, and aligning the main axis of the source drawing to the main axis of the target drawing. A plurality of source feature point vectors and target feature point vectors may be generated from the source and target drawings, whose main axes have been aligned. A predetermined number of matching FPV pairs may then be determined across the source and target drawings, and the source drawing may be aligned with the target drawings based on the matching FPV pairs.

Systems, methods, and non-transitory computer readable media can align face images, classify face images, and verify face images by employing a deep neural network (DNN). A 3D-aligned face image can be generated from a 2D face image. An identity of the 2D face image can be classified based on provision of the 3D-aligned face image to the DNN. The identity of the 2D face image can comprise a feature vector.

This application discloses a repositioning method performed by an electronic device in a camera pose tracking process, belonging to the field of augmented reality (AR). The method includes: obtaining a current image acquired by the camera after an i.sup.th anchor image in a plurality of anchor images; obtaining an initial feature point and an initial pose parameter in a first anchor image in the plurality of anchor images in a case that the current image satisfies a repositioning condition; performing feature point tracking on the current image relative to the first anchor image, to obtain a target feature point; calculating a pose change amount of a camera from a first camera pose to a target camera pose according to the initial feature point and the target feature point; and performing repositioning according to the initial pose parameter and the pose change amount to obtain a target pose parameter.

A method and system for providing optimized digital drawings are provided. The method and system include receiving a request to perform a transformation operation on a digital drawing to optimize the digital drawing, providing a tool for selecting an area of the digital drawing to perform the transformation operation on, receiving a selection of the selected area of the digital drawing, transforming the selected area of the digital drawing to optimize the digital drawing, and displaying the transformed area of the digital drawing. The method may also include receiving an input for a digital drawing, identifying the input as related to coloring a portion of the digital drawing, identifying one or more boundary lines for the portion of the digital drawing, determining if the input includes a stroke that extends outside the one or more boundary lines, and removing a section of the stroke that extends outside the boundary lines.