Example apparatus, computer-implemented methods, systems, devices, and computer-readable media facilitate concurrent consumption of media content by multiple users using superimposed animation. Example instructions, when executed, cause at least one processor of an electronic user device to at least cause a display to present media and a visual representation of a remote individual, the visual representation including at least a portion of a human profile; identify a direction of a gaze of a user of the electronic user device based on signals output by one or more sensors of the electronic user device; and determine whether the gaze of the user is directed toward the display of the media or the display of the visual representation based on the direction of the gaze.

A method of image retargeting is provided. The method includes obtaining a source image, obtaining a target size for a retargeted image based on the source image, generating a two-dimensional importance map for the source image, generating, based on the two-dimensional importance map and the target size, a warping mesh having a distortion metric below a threshold value, determining whether a size of the warping mesh corresponds to the target size, and based on the size of the warping mesh being determined to correspond to the target size, rendering the retargeted image by applying the warping mesh to the source image.

Digital mirror systems for vehicles and methods of operating the same are disclosed. An example vehicle control system includes: a driver monitoring system including a head position determiner to determine at least one of a location of a head, an orientation of the head, or an eye gaze point of the head; a digital mirror system including a region-of-interest (ROI) detector to identify an ROI based on the at least one of the location of the head, the orientation of the head, or the eye gaze point of the head, and a cropper to extract a portion of a first image corresponding to the ROI to form a second image, the first image representing an area exterior to the vehicle; and a display within an interior area of the vehicle to present the second image.

A vision system for a vehicle includes a camera and an electronic control unit (ECU) with an image processor. The ECU generates a reduced resolution frame of captured image data and the ECU determines a reduced resolution detection result based on pedestrian detection using the reduced resolution frame of captured image data. The ECU, responsive to processing by the image processor of image data, generates a cropped frame of captured image data and the ECU determines a cropped detection result based on pedestrian detection using the cropped frame of captured image data. Responsive to determining the reduced resolution detection result and determining the cropped detection result, the ECU merges the reduced resolution detection result and the cropped detection result into a final pedestrian detection result. The final pedestrian detection result is indicative of presence of a pedestrian within the field of view of the camera.

Provided are an image cropping method, an image cropping device, an apparatus and storage medium. The method includes: adjusting a size of an image in a cropping area of a cropping block in a case that a border of the cropping block reaches a first target position of an image display area and a dragging event for the cropping block continues; and displaying, on a second target position of the image display area, an image in a current cropping area of the cropping block according to a current size ratio of the image in the cropping area of the cropping block when the dragging event for the cropping block ends.

A image processing apparatus (20) includes at least an acquisition unit (210), a processing unit (220), and an image generation unit (230). The acquisition unit (210) acquires an intermediate frequency signal from an irradiation apparatus (10). The processing unit (220) generates three-dimensional positional information about a subject by processing the intermediate frequency signal. The image generation unit (230) generates at least a first two-dimensional image and a second two-dimensional image, and displays the two-dimensional images on a display apparatus (30). The first two-dimensional image is, for example, an image when viewed from a direction in which the subject moves, and the second two-dimensional image is, for example, an image when viewed from an opposite direction.

A method is provided for generating a visualization for explaining a behavior of a machine learning (ML) model, the method includes inputting an image into a machine learning (ML) model for an inference operation. A first heatmap is generated for the image using a first visualization method. An area of highest attention is selected on the first heatmap based a predetermined threshold. The selected area is cropped from the image. The cropped selected area is upscaled. A second heatmap is generated for the cropped and upscaled selected area of the image. A final visualization is presented for analysis. In another embodiment, a computer program comprising instructions for executing the method is provided.

A system for generating three-dimensional (3D) images from captured images of a target when executing digital magnification. A controller executes a digital magnification on the first image of the target captured by the first image sensor and on the second image captured by the second image sensor of the target. The controller crops the first image and the second image to overlap a first portion of the target captured by the first image sensor with a second portion of the target captured by the second image sensor. The controller adjusts the cropping of the first image and the second image to provide binocular overlap of the first portion of the target with the second portion of target. The displayed cropped first image and the cropped second image display the 3D image at the digital magnification to the user.

Disclosed are techniques for processing image data. In some aspects, a three-dimensional model can be determined corresponding to an object in an input image. Based on the three-dimensional model, an estimated focal length can be determined that corresponds to the input image. An estimated depth associated with the object in the input image can be calculated based on the estimated focal length and an input image focal length.

A method and system for processing an image is described. For example, the method comprises detecting a plurality of objects within an in input image; identifying dimensions of a display on which the input image is to be displayed; cropping the input image to obtain a cropped image which matches the identified dimensions, wherein the cropped image includes at least one of the plurality of detected objects; obtaining a list of missing objects which are not visible in the cropped image and which were detected in the input image; outputting a representation of each missing object in the list of missing objects to be displayed together with the cropped image; generating an updated image comprising the representation of at least one missing object and which matches the identified dimensions; and outputting the updated image to be displayed on the display.