Coding and decoding method for geometric compression of point cloud

By optimizing network parameters through layer-by-layer downsampling and upsampling and sharing lightweight network parameters, the problems of long overfitting time and insufficient adaptability in point cloud compression are solved, achieving efficient point cloud data processing and stable compression effects.

CN120655740APending Publication Date: 2025-09-16SHANGHAI JIAOTONG UNIV
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Patent Information

Application Number
CN202510763155.9
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-06-09
Publication Date
2025-09-16

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Abstract

The invention relates to the technical field of point cloud, in particular to a coding and decoding method for point cloud compression. The invention provides a coding method for geometric compression of a point cloud, which comprises the following steps of: performing layer-by-layer down-sampling and layer-by-layer up-sampling on each spatial scale of a point cloud group, and training a network through over-fitting to obtain optimized network parameters; based on the network parameters, performing layer-by-layer up-sampling on each spatial scale of the point cloud group, predicting the occupancy probability of the child nodes and taking the occupancy probability as a code table, performing arithmetic coding on occupancy codes of the child nodes, and generating an occupancy code stream; and coding the network parameters to generate a network parameter code stream. According to the invention, the adjacent frames with similar features in the point cloud sequence share the lightweight network parameters for coding and decoding, so that the repeated transmission of the network parameters is reduced, and the average bandwidth consumption of the network parameters in the transmission process is reduced.
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