DISPARITY-BASED DEPTH REFINEMENT USING CONFIDENCE INFORMATION AND STEREOSCOPIC DEPTH INFORMATION

    公开(公告)号:US20240404093A1

    公开(公告)日:2024-12-05

    申请号:US18327380

    申请日:2023-06-01

    Abstract: Systems and techniques are provided for generating disparity information from two or more images. For example, a process can include obtaining first disparity information corresponding to a pair of images, the pair of images including a first image of a scene and a second image of the scene. The process can include obtaining confidence information associated with the first disparity information. The process can include processing, using a machine learning network, the first disparity information and the confidence information to generate second disparity information corresponding to the pair of images. The process can include combining, based on the confidence information, the first disparity information with the second disparity information to generate a refined disparity map corresponding to the pair of images.

    SCALE IMAGE RESOLUTION FOR MOTION ESTIMATION

    公开(公告)号:US20240005518A1

    公开(公告)日:2024-01-04

    申请号:US17853422

    申请日:2022-06-29

    CPC classification number: G06T7/207 G06T7/215

    Abstract: Systems and techniques are provided for conserving resources when performing motion estimation. An example process can include determining, based on an input image and a reference image, motion vectors identifying motion between the input image and the reference image; determining whether the motion indicated by the motion vectors is below a first threshold; based on a determination that the motion indicated by the motion vectors is below the first threshold, refraining from determining a local motion between the input image and the reference image; determining a transform matrix based on the motion vectors and without using a local motion between the input image and the reference image; and adjusting the input image based on the transform matrix.

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