Point cloud attribute compression method based on deleting 0 elements in quantisation matrix
US11216985B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | May 15, 2018 |
| Grant date | Jan 4, 2022 |
| Priority date | — |
| Expiry date | May 15, 2038 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06T9/40
- WIPO fieldAudio-visual technology
- WIPO sectorElectrical engineering
Abstract
Disclosed in the present invention is a point cloud attribution compression method based on deleting 0 elements in a quantisation matrix, including optimizing a traversal sequence for a quantisation matrix and deleting the 0 elements at the end of the data stream. The present invention may use seven types of traversal sequences at the encoding end of the point cloud attribute compression, such that the distribution of the 0 elements in the data stream may be more concentrated at the end thereof. The 0 elements at the end of the data stream may be deleted, removing redundant information and reducing the quantity of data to be entropy encoded. At the decoding end, the point cloud geometric information may be incorporated to supplement the deleted 0 elements and the quantisation matrix may be restored according to the traversal sequence, thereby improving compression performance without introducing new errors.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.