Leaf node compression with compressibility prediction

    公开(公告)号:US12100186B2

    公开(公告)日:2024-09-24

    申请号:US17650071

    申请日:2022-02-04

    CPC classification number: G06T9/40 G06T9/001 G06T17/10 G06T2210/12

    Abstract: Aspects presented herein relate to methods and devices for graphics processing including an apparatus, e.g., a GPU or CPU. The apparatus may allocate each of a plurality of primitives in a scene into one of a plurality of bounding boxes, each of the plurality of bounding boxes corresponding to a plurality of nodes including internal nodes and leaf nodes. The apparatus may also identify whether each of the plurality of nodes is one of the internal nodes or one of the leaf nodes. Further, the apparatus may estimate a compressibility of each of the plurality of nodes if the node is one of the leaf nodes, the compressibility of the node corresponding to whether the node is compressible. The apparatus may also compress data corresponding to each of the plurality of nodes if the node is estimated to be compressible.

    3D POSITION ACQUISITION METHOD AND DEVICE
    10.
    发明公开

    公开(公告)号:US20240303859A1

    公开(公告)日:2024-09-12

    申请号:US18549351

    申请日:2022-03-07

    Abstract: he The target includes a plurality of keypoints of a body including a plurality of joints and the 3D position of the target is identified by positions of the plurality of keypoints. A bounding box and reference 2D joint position determining unit determines a bounding box surrounding the target in a camera image at a target frame to be predicted subsequent to at least one frame at which imaging is performed by the plurality of cameras using the 3D positions of the keypoints of the target at the at least one frame and acquires reference 2D positions of the keypoints projected from the 3D positions of the keypoints of the target onto a predetermined plane. A 3D pose acquiring unit acquires the 3D positions of the keypoints of the target at the target frame using image information in the bounding box and the reference 2D positions.

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