Title:
METHOD FOR ENCODING AND DECODING A POINT CLOUD
Document Type and Number:
WIPO Patent Application WO/2024/082145
Kind Code:
A1
Abstract:
A method of encoding attributes of points of a point cloud to generate a bitstream of compressed point cloud data, wherein the point cloud's geometry is represented by a voxel-based structure with a plurality of nodes having parent-child relationships by recursively splitting a volumetric space containing the point cloud into sub-volumes each associated with a node of the voxel-based structure, comprising the steps: determining whether a first occupied node count is greater than or equal to a first threshold value, the first occupied node count being a total number of occupied nodes that are nodes each including at least one three-dimensional point, the occupied nodes being included in the first node count being occupied child node of a current node in an N-ary tree structure of three-dimensional points included in point cloud data, N being an integer greater than or equal to 2; when the first occupied node count is less than the first threshold value, performing a first encoding on the attribute of the current node, the first encoding not including a prediction process in which second nodes are used, the second nodes including a parent node of the current node and nodes belonging to a same layer as the parent node; and when the first occupied node count is greater than or equal to the first threshold value, performing a second encoding on the attribute of the current node, the second encoding including the prediction process in which second nodes are used.
Inventors:
ZHANG WEI (CN)
CHAMPEL MARY-LUC GEORGES HENRY (CN)
CHAMPEL MARY-LUC GEORGES HENRY (CN)
Application Number:
PCT/CN2022/125995
Publication Date:
April 25, 2024
Filing Date:
October 18, 2022
Export Citation:
Assignee:
BEIJING XIAOMI MOBILE SOFTWARE CO LTD (CN)
International Classes:
G06T9/00; H04N19/61
Foreign References:
| EP3944625A1 | 2022-01-26 | |||
| US20200302651A1 | 2020-09-24 |
Other References:
"G-PCC codec description", no. n21244, 12 April 2022 (2022-04-12), XP030302337, Retrieved from the Internet [retrieved on 20220412]
LASSERRE (BLACKBERRY) S ET AL: "[G-PCC][new proposal] On an improvement of RAHT to exploit attribute correlation", no. m47378, 20 March 2019 (2019-03-20), XP030211360, Retrieved from the Internet [retrieved on 20190320]
WEI ZHANG ET AL: "[G-PCC][New] On disabling Transform Domain Prediction of RAHT", no. m61015, 19 October 2022 (2022-10-19), XP030305440, Retrieved from the Internet [retrieved on 20221019]
WENYI WANG ET AL: "[G-PCC][EE13.61 related][New Proposal] Complexity Reduction for RAHT", no. m61089, 19 October 2022 (2022-10-19), XP030305571, Retrieved from the Internet [retrieved on 20221019]
LASSERRE (BLACKBERRY) S ET AL: "[G-PCC][new proposal] On an improvement of RAHT to exploit attribute correlation", no. m47378, 20 March 2019 (2019-03-20), XP030211360, Retrieved from the Internet
WEI ZHANG ET AL: "[G-PCC][New] On disabling Transform Domain Prediction of RAHT", no. m61015, 19 October 2022 (2022-10-19), XP030305440, Retrieved from the Internet
WENYI WANG ET AL: "[G-PCC][EE13.61 related][New Proposal] Complexity Reduction for RAHT", no. m61089, 19 October 2022 (2022-10-19), XP030305571, Retrieved from the Internet
Attorney, Agent or Firm:
BEIJING BESTIPR INTELLECTUAL PROPERTY LAW CORPORATION (CN)
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