Point cloud intra prediction method and device based on weights optimization of neighbors
US12307725B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Sep 11, 2019 |
| Grant date | May 20, 2025 |
| Priority date | — |
| Expiry date | Jun 2, 2041 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06T9/004
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
The present invention provides a point cloud intra prediction method and device based on weights optimization of neighbors. The invention relates to intra prediction for point cloud attribute compression, by optimizing the weights of the neighboring points on the basis of the density of the point cloud in three directions, i.e. x, y and z directions, and specifically, calculating the optimized weight of each neighboring point by optimizing corresponding coefficients of three coordinate components, i.e. x, y and z coordinate components of distances. The invention can improve the accuracy of intra prediction by means of enhancing the utilization of the overall geometric information of the point cloud, and then transformation, quantification and entropy are carried out on the prediction residuals, such that a better point cloud attribute compression performance is achieved.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.