- 专利标题: Hierarchical division-based point cloud attribute compression method
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申请号: US16626907申请日: 2018-05-15
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公开(公告)号: US11004240B2公开(公告)日: 2021-05-11
- 发明人: Ge Li , Yi Ting Shao , Qi Zhang , Rong Gang Wang , Tie Jun Huang , Wen Gao
- 申请人: Peking University Shenzhen Graduate School
- 申请人地址: CN Guangdong
- 专利权人: Peking University Shenzhen Graduate School
- 当前专利权人: Peking University Shenzhen Graduate School
- 当前专利权人地址: CN Guangdong
- 代理机构: The Belles Group, P.C.
- 优先权: CN201810435403.7 20180509
- 国际申请: PCT/CN2018/086790 WO 20180515
- 国际公布: WO2019/213985 WO 20191114
- 主分类号: G06T9/40
- IPC分类号: G06T9/40 ; G06T7/90 ; G06T7/60
摘要:
Disclosed is a hierarchical division-based point cloud attribute compression method. For point cloud attribute information, a new hierarchical division based coding scheme is proposed, wherein a frame of point cloud is adaptively divided into a “stripe-macroblock-block” hierarchical structure according to the spatial position and color distribution of the point cloud, and stripes are coded independently from one another, increasing the coding efficiency, enhancing the fault tolerance of a system and improving the performance of point cloud attribute compression. The method comprises: (1) inputting a point cloud; (2) division of a k-dimension (KD) tree structure of the point cloud; (3) continuity analysis of point cloud attribute information; (4) stripe division of the point cloud; (5) division of macroblocks and coding blocks of the point cloud; and (6) intra-frame prediction, transformation, quantification and entropy coding based on a block structure.
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