REFERENCE FRAMES FOR POINT CLOUD COMPRESSION

    公开(公告)号:US20250126293A1

    公开(公告)日:2025-04-17

    申请号:US18911872

    申请日:2024-10-10

    Abstract: A device for decoding point cloud data includes: one or more memories configured to store the point cloud data; and processing circuitry coupled to the one or more memories, wherein the processing circuitry is configured to: apply a first process to a reference point cloud frame to generate a first level processed frame; apply a second process to the first level processed frame to generate a second level processed frame; inter-prediction decode geometry data of points of a current point cloud frame using the first level processed frame; and inter-prediction decode attribute data of points of the current point cloud frame using the second level processed frame.

    Clipping laser indices in predictive geometry coding for point cloud compression

    公开(公告)号:US12033360B2

    公开(公告)日:2024-07-09

    申请号:US17491114

    申请日:2021-09-30

    CPC classification number: G06T9/001 G01S17/89

    Abstract: A method of encoding a point cloud includes determining, by one or more processors, a quantity of lasers used to capture light detection and ranging (LIDAR) data that represents the point cloud; and encoding, by the one or more processors, a laser index for a current node of the point cloud, wherein encoding the laser index comprises: obtaining a predicted laser index value of the current node; determining a residual laser index value for the current node, wherein determining the residual laser index value comprises constraining a sum of the residual laser index value and the predicted laser index value to be less than or equal to the determined quantity of lasers minus one; and encoding, in a bitstream, one or more syntax elements that represent the residual laser index value.

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