Convex representation of objects using neural network
US11978268B2 · kind B2 · utility
3Cited by
2References
20Claims
0Family size
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Key dates
| Filing date | Nov 18, 2022 |
| Grant date | May 7, 2024 |
| Priority date | — |
| Expiry date | Nov 18, 2042 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06V30/18057
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Methods, systems, and apparatus including computer programs encoded on a computer storage medium, for generating convex decomposition of objects using neural network models. One of the methods includes receiving an input that depicts an object. The input is processed using a neural network to generate an output that defines a convex representation of the object. The output includes, for each of a plurality of convex elements, respective parameters that define a position of the convex element in the convex representation of the object.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.