Encoding / decoding positions of points of a point cloud contained in a cuboid volume
By quantizing vertex positions and residual values, the TriSoup encoding scheme was improved, which enhanced the efficiency and visual quality of point cloud encoding, solved the lossy compression problem of dense point clouds, and achieved better encoding efficiency and reconstruction results.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- BEIJING XIAOMI MOBILE SOFTWARE CO LTD
- Filing Date
- 2023-02-21
- Publication Date
- 2026-07-10
AI Technical Summary
Existing TriSoup encoding schemes are insufficient in terms of visual quality and objective metrics (such as PSNR) of point cloud reconstruction, making it difficult to achieve efficient lossy compression on dense point clouds.
By quantizing vertex positions and residual values, vertex information is encoded using quantization parameters and dequantized during decoding to construct triangles to reconstruct point cloud positions, thereby improving encoding efficiency and visual quality.
It improves the trade-off between bit rate and distortion in point cloud encoding, enhances the visual quality and objective metrics (such as PSNR) of point cloud reconstruction, and is suitable for efficient lossy compression of dense point clouds.
Smart Images

Figure CN118985133B_ABST