Point cloud geometry compression method, system, device and medium based on residual coding
By dividing the point cloud into multiple layers and using residual coding, the problems of limited receptive field and computational redundancy in point cloud geometric compression are solved, achieving more efficient point cloud compression and reconstruction.
Patent Information
- Application Number
- CN202510075134.8
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-01-17
- Publication Date
- 2026-07-17
AI Technical Summary
Existing point cloud geometric compression methods suffer from limited receptive fields and redundant multi-stage autoregressive calculations when processing dense point clouds, affecting compression efficiency and quality.
A residual coding-based approach is adopted to divide the point cloud into multiple layers, with sparse vector coding performed on each layer. By utilizing the prior that the number of points at adjacent scales is equal, the receptive field is expanded through residual coding prediction and arithmetic entropy coding, thereby reducing prediction difficulty and improving coding efficiency.
It expands the receptive field, reduces prediction difficulty, improves coding efficiency and compression performance, reduces computational redundancy, and enhances the quality of point cloud reconstruction.
Smart Images
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