G06T3/40

CUSTOMIZED ANIMATED ART

A method for providing an animated art experience to a user includes a user device receiving an image of an art piece selected by the user. The user device obtains information about the art piece. The user device presents a three-dimensional (3D) animated image that corresponds with the selected art image. Upon receiving an action by the user caused by a rotation or tilt of the user device, the user device provides a depth perspective view in correlation with the action and associated viewer angle of the art image such that further portions of the art image become visible. A background and a foreground of the image appear to move naturally as actions and associated viewer angles change.

Systems and methods for data visualization in virtual reality environments
11551402 · 2023-01-10 · ·

A computer-implemented method is provided for visualizing multiple objects in a computerized visual environment. The method includes displaying to a user a virtual three-dimensional space via a viewing device worn by the user, and determining a data limit of the viewing device for object rendering. The method includes presenting an initial rendering of the objects within the virtual space, where the visualization data used for the initial rendering does not exceed the data limit of the viewing device. The method also includes tracking user attention relative to the objects as the user navigates through the virtual space and determining, based on the tracking of user attention, one or more select objects from the multiple objects to which the user is paying attention. The one or more select objects are located within a viewing range of the user.

Chrominance and luminance enhancing systems and methods
11551336 · 2023-01-10 · ·

An electronic device may include enhancement circuitry to enhance high resolution image data to improve perceived quality of an image corresponding to the high resolution image data. The enhancement circuitry may include tone detection circuitry to determine one or more tones within the image and apply changes to the high resolution image data based on the one or more tones. The enhancement circuitry may also include example-based improvement circuitry to compare the high resolution image data to low resolution image data and apply changes to the high resolution image data based on differences between sections of the high resolution image data and sections of the low resolution image data. The enhancement circuitry may also include channel processing circuitry to apply the first and second changes to one or more channels of the high resolution image data.

VIDEO MATTING
20230044969 · 2023-02-09 ·

The present disclosure describes techniques of improving video matting. The techniques comprise extracting features from each frame of a video by an encoder of a model, wherein the video comprises a plurality of frames; incorporating, by a decoder of the model, into any particular frame temporal information extracted from one or more frames previous to the particular frame, wherein the particular frame and the one or more previous frames are among the plurality of frames of the video, and the decoder is a recurrent decoder; and generating a representation of a foreground object included in the particular frame by the model, wherein the model is trained using segmentation dataset and matting dataset.

VIDEO MATTING
20230044969 · 2023-02-09 ·

The present disclosure describes techniques of improving video matting. The techniques comprise extracting features from each frame of a video by an encoder of a model, wherein the video comprises a plurality of frames; incorporating, by a decoder of the model, into any particular frame temporal information extracted from one or more frames previous to the particular frame, wherein the particular frame and the one or more previous frames are among the plurality of frames of the video, and the decoder is a recurrent decoder; and generating a representation of a foreground object included in the particular frame by the model, wherein the model is trained using segmentation dataset and matting dataset.

IMAGE PROCESSING FOR OVERSAMPLED INFRARED IMAGING
20230041139 · 2023-02-09 ·

A method is described. The method includes receiving oversampled infrared data provided from an infrared pixel array. The method also includes performing at least one of selective median filtering, spatial-temporal filtering, or resolution enhancement for the oversampled infrared data.

IMAGE PROCESSING FOR OVERSAMPLED INFRARED IMAGING
20230041139 · 2023-02-09 ·

A method is described. The method includes receiving oversampled infrared data provided from an infrared pixel array. The method also includes performing at least one of selective median filtering, spatial-temporal filtering, or resolution enhancement for the oversampled infrared data.

Gradient-based noise reduction

In one embodiment, a method includes obtaining an image comprising a plurality of pixels, determining, for a particular pixel of the plurality of pixels, a gradient value, classifying, based on the gradient value, the particular pixel into a flat class or one of a plurality of edge classes, and denoising the particular pixel based on the classification.

Method and a display device with pixel repartition optimization

A method for presenting an image on a display device (100) includes modifying the image by applying a geometric transformation to the image so that an area of the image on the display device is presented to a viewer with higher density of pixels than that in the rest of the image (S18).

Parallax-tolerant panoramic image generation

A method for generating a parallax-tolerant panoramic image includes obtaining a point cloud captured by a depth sensor, the point cloud representing a support structure bearing a set of objects; obtaining a set of images of the support structure and the set of objects, the set of images captured by an image sensor from a plurality of positions alongside a length of the support structure; generating a mesh structure using the point cloud, the mesh structure including a plurality of patches and representing a surface of the support structure and the set of objects; for each patch in the mesh structure, selecting an image from the set of images and projecting the selected image to the mesh patch; and generating an orthographic projection of the mesh structure onto a shelf plane of the support structure.