Title:
ENCODING METHOD, DECODING METHOD, DECODER, ENCODER AND COMPUTER-READABLE STORAGE MEDIUM
Document Type and Number:
WIPO Patent Application WO/2024/082105
Kind Code:
A1
Abstract:
Provided in the embodiments of the present application are an encoding method, a decoding method, a decoder, an encoder and a computer-readable storage medium, which can improve the encoding and decoding performance. The decoding method comprises: parsing a code stream to determine coded information corresponding to a second-scale point cloud, and determining a first-scale point cloud; performing local density prediction on the basis of the first-scale point cloud to determine a local density corresponding to first-scale voxels in the first-scale point cloud, and performing occupancy probability prediction on second-scale voxels to determine an occupancy probability corresponding to the second-scale voxels, the second-scale voxels being up-sampling voxels corresponding to the first-scale voxels, and the local density representing the number of occupied second-scale voxels amongst the second-scale voxels corresponding to the first-scale voxels; and, on the basis of the occupancy probability corresponding to the second-scale voxels and the local density corresponding to the first-scale voxels, decoding and reconstructing the coded information corresponding to the second-scale point cloud, so as to determine reconstructed geometric information corresponding to the second-scale point cloud.
Inventors:
MA ZHAN (CN)
XUE RUIXIANG (CN)
WEI HONGLIAN (CN)
XUE RUIXIANG (CN)
WEI HONGLIAN (CN)
Application Number:
PCT/CN2022/125742
Publication Date:
April 25, 2024
Filing Date:
October 17, 2022
Export Citation:
Assignee:
GUANGDONG OPPO MOBILE TELECOMMUNICATIONS CORP LTD (CN)
International Classes:
H04N19/00
Foreign References:
| CN113613010A | 2021-11-05 | |||
| CN113766228A | 2021-12-07 | |||
| CN114926636A | 2022-08-19 | |||
| US20220321912A1 | 2022-10-06 | |||
| US20220108492A1 | 2022-04-07 |
Other References:
J. WANG, Z. MA (NANJING UNIVERSITY), H. WEI (OPPO), Y. YU (OPPO), V. ZAKHARCHENKO (OPPO), D. WANG(OPPO): "[G-PCC EE13.54] A Geometry Compression Framework for AI-based PCC via Sparse Convolution", 135. MPEG MEETING; 20210712 - 20210716; ONLINE; (MOTION PICTURE EXPERT GROUP OR ISO/IEC JTC1/SC29/WG11), 6 July 2021 (2021-07-06), XP030297111
HE YUN; REN XINLIN; TANG DANHANG; ZHANG YINDA; XUE XIANGYANG; FU YANWEI: "Density-preserving Deep Point Cloud Compression", 2022 IEEE/CVF CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR), IEEE, 18 June 2022 (2022-06-18), pages 2323 - 2332, XP034194523, DOI: 10.1109/CVPR52688.2022.00237
HE YUN; REN XINLIN; TANG DANHANG; ZHANG YINDA; XUE XIANGYANG; FU YANWEI: "Density-preserving Deep Point Cloud Compression", 2022 IEEE/CVF CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR), IEEE, 18 June 2022 (2022-06-18), pages 2323 - 2332, XP034194523, DOI: 10.1109/CVPR52688.2022.00237
Attorney, Agent or Firm:
CHINA PAT INTELLECTUAL PROPERTY OFFICE (CN)
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