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公开(公告)号：US20230224506A1
公开(公告)日：2023-07-13
申请号：US18000919
申请日：2020-06-24
IPC分类号： H04N19/96 , H04N19/91 , H04N19/184 , G06T7/10
CPC分类号： H04N19/96 , G06T7/10 , H04N19/91 , H04N19/184 , G06T2207/10028
摘要： A method for encoding a point cloud to generate a bitstream of compressed point cloud data is provided. The point cloud’s geometry is represented by an octree-based structure with a plurality of nodes having parent-child relationships by recursively splitting a volumetric space containing the point cloud into sub-volumes each associated with a node of the octree-based structure. The method includes: determining a coding mode, wherein the coding mode includes a planar coding mode and an angular coding mode; obtaining coding context information for a present child node, entropy encoding the present child node based on the obtained coding context information to produce encoded data for the bitstream.
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公开(公告)号：US20240312064A1
公开(公告)日：2024-09-19
申请号：US18575548
申请日：2021-07-02
IPC分类号： G06T9/00
CPC分类号： G06T9/001
摘要： A method for encoding, in a bitstream, point attributes associated to a point of a point cloud, includes: determining, for a point P to be encoded to the bitstream, a predictor list of k predictor points of the point cloud including k points of the point cloud nearest to the point P to be encoded, wherein the k points are selected according to their relative position to each other; and encoding the point attributes associated to the point P to be encoded by predictive encoding based on attributes of the predictor points of the predictor list.
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公开(公告)号：US20230410377A1
公开(公告)日：2023-12-21
申请号：US18030240
申请日：2020-10-06
IPC分类号： G06T9/40
CPC分类号： G06T9/40
摘要： A method for encoding and decoding, an encoder and decoder for a point cloud is disclosed. The method for encoding a point cloud to generate a bitstream of compressed point cloud data, the point cloud's geometry being represented by an octree-based structure with a plurality of nodes having parent-child relationships by recursively splitting a volumetric space containing the point cloud into sub-volumes each associated with a node of the octree-based structure, including: determining context information of a current node including plane position context information, the plane position context information of the current node being determined according to an occupancy of a neighboring node directly adjacent to the current node and an occupancy of at least one sibling node having the same parent node as the current node; and entropy encoding the occupancy information of the current node based on the determined context information to produce encoded data for the bitstream.
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公开(公告)号：US20230162402A1
公开(公告)日：2023-05-25
申请号：US17919136
申请日：2020-04-14
摘要： A method for encoding and decoding, an encoder and decoder for a point cloud. The method for encoding a point cloud to generate a bitstream of compressed point cloud data, in which the point cloud's geometry is represented by an octree-based structure with a plurality of nodes having parent-child relationships by recursively splitting a volumetric space containing the point cloud into sub-volumes each associated with a node of the octree-based structure, includes: determining an occupancy pattern for a parent node based on the occupancy of its child nodes; determining a planar context information for at least one of the child nodes; and entropy encoding/decoding the occupancy pattern parent node based on the determined planar context information to produce encoded/decoded data for the bitstream.
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公开(公告)号：US20230267651A1
公开(公告)日：2023-08-24
申请号：US18001962
申请日：2020-06-24
摘要： A method for encoding attributes of points of a point cloud, includes: determining a true transform coefficient by applying RAHT to attributes of a present node; determining a difference between attributes of a present parent node and each parent node of a first set of parent nodes sharing a face or an edge with the present node; selecting a second set of parent nodes from the first set of parent nodes according to the difference; determining a predicted value for the attributes of the present node according to attributes of the second set of parent nodes; determining a predicted transform coefficient by applying the RAHT to the predicted value of the attributes of the present node; determining a residual from the true transform coefficient and the predicted transform coefficient; and encoding the residual to produce encoded data of attributes of the point cloud for a bitstream.
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