- 专利标题: Multi-angle adaptive intra-frame prediction-based point cloud attribute compression method
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申请号: US16626912申请日: 2018-05-15
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公开(公告)号: US10939123B2公开(公告)日: 2021-03-02
- 发明人: Ge Li , Yi Ting Shao , Hong Lian Wei , 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: CN201810435402.2 20180509
- 国际申请: PCT/CN2018/086791 WO 20180515
- 国际公布: WO2019/213986 WO 20191114
- 主分类号: H04N19/103
- IPC分类号: H04N19/103 ; H04N19/159 ; H04N19/124 ; H04N19/176 ; H04N19/61 ; H04N19/625 ; H04N19/91 ; H04N19/96
摘要:
Disclosed is a multi-angle adaptive intra-frame prediction-based point cloud attribute compression method. A novel block structure-based intra-frame prediction scheme is provided for point cloud attribute information, where six prediction modes are provided to reduce information redundancy among different coding blocks and improve the point cloud attribute compression performance. The method comprises: (1) inputting a point cloud; (2) performing point cloud attribute color space conversion; (3) dividing a point cloud by using a K-dimensional (KD) tree to obtain coding blocks; (4) performing block structure-based multi-angle adaptive intra-frame prediction; (5) performing intra-frame prediction mode decision; and (6) performing conversion, uniform quantization, and entropy encoding.
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