Multiscale point cloud classification method and system
US12307743B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Nov 16, 2022 |
| Grant date | May 20, 2025 |
| Priority date | — |
| Expiry date | Nov 1, 2043 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06V20/64
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
The present disclosure discloses a multiscale point cloud classification method. The method includes the following steps: acquiring 3D unordered point cloud data; performing feature extraction and classification on the acquired point cloud data using a pre-trained parallel classification network to obtain an output result, wherein the parallel classification network includes a plurality of basic networks with the same structures; and fusing the output results of the parallel network using a pre-trained deep Q network to obtain a final result of point cloud classification. The present disclosure can improve the accuracy and robustness of point cloud classification.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.