Invention Grant
- Patent Title: Multi-angle adaptive intra-frame prediction-based point cloud attribute compression method
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Application No.: US16626912Application Date: 2018-05-15
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Publication No.: US10939123B2Publication Date: 2021-03-02
- Inventor: Ge Li , Yi Ting Shao , Hong Lian Wei , Rong Gang Wang , Tie Jun Huang , Wen Gao
- Applicant: Peking University Shenzhen Graduate School
- Applicant Address: CN Guangdong
- Assignee: Peking University Shenzhen Graduate School
- Current Assignee: Peking University Shenzhen Graduate School
- Current Assignee Address: CN Guangdong
- Agency: The Belles Group, P.C.
- Priority: CN201810435402.2 20180509
- International Application: PCT/CN2018/086791 WO 20180515
- International Announcement: WO2019/213986 WO 20191114
- Main IPC: H04N19/103
- IPC: H04N19/103 ; H04N19/159 ; H04N19/124 ; H04N19/176 ; H04N19/61 ; H04N19/625 ; H04N19/91 ; H04N19/96

Abstract:
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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