公开(公告)号：US10939123B2

公开(公告)日：2021-03-02

申请号：US16626912

申请日：2018-05-15

申请人： Peking University Shenzhen Graduate School

发明人： Ge Li ,  Yi Ting Shao ,  Hong Lian Wei ,  Rong Gang Wang ,  Tie Jun Huang ,  Wen Gao

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.