CLIPPING LASER INDICES IN PREDICTIVE GEOMETRY CODING FOR POINT CLOUD COMPRESSION

    公开(公告)号:US20240312067A1

    公开(公告)日:2024-09-19

    申请号:US18677789

    申请日:2024-05-29

    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.

    ATTRIBUTE CODING FOR POINT CLOUD COMPRESSION
    154.
    发明公开

    公开(公告)号:US20240233196A9

    公开(公告)日:2024-07-11

    申请号:US18490467

    申请日:2023-10-19

    CPC classification number: G06T9/002

    Abstract: A method of encoding point cloud data includes receiving, for a first encoding process, geometry data of the point cloud data of a source point cloud; encoding, in accordance with the first encoding process, the geometry data to generate encoded geometry data of a target point cloud and a geometry bitstream; decoding the encoded geometry data to generate reconstructed geometry data; performing an attribute recomputing process on attribute data of the point cloud data of the source point cloud based on the reconstructed geometry data to generate recomputed, reconstructed point cloud data of the target point cloud; and encoding, in accordance with a second encoding process, the recomputed, reconstructed point cloud data to generate an attribute bitstream.

    DECODING ATTRIBUTE VALUES IN GEOMETRY-BASED POINT CLOUD COMPRESSION

    公开(公告)号:US20240185470A1

    公开(公告)日:2024-06-06

    申请号:US18488816

    申请日:2023-10-17

    CPC classification number: G06T9/001

    Abstract: A device for processing point cloud data is configured to determine a first attribute value for a first point of a point cloud, the first point being a closest already-decoded point to a current point of the point cloud; determine second and third attribute values for second and third points of the point cloud, the second and third points being second and third closest already-decoded points; determine a fourth attribute value for a fourth point of the point cloud, the fourth point being an already-decoded point that is either further from, or the same distance to, the current point as the third point; generate a set of predictor candidates with a subset of the first attribute value, the second attribute value, the third attribute value, and the fourth attribute value based on a comparison of a location of the second point to a location of the third point.

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