Neural network based 3D object surface mapping
US11869132B2 · kind B2 · utility
Assignees
Inventors
Key dates
| Filing date | Nov 29, 2021 |
| Grant date | Jan 9, 2024 |
| Priority date | — |
| Expiry date | Dec 16, 2041 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06T17/20
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Certain aspects and features of this disclosure relate to neural network based 3D object surface mapping. In one example, a first representation of a first surface of a first 3D object and a second representation of a second surface of a second 3D object are produced. A surface mapping function is generated for mapping the first surface to the second surface. The surface mapping function is defined the representations and by a neural network model configured to map a first 2D representation of the first surface to a second 2D representation of the second surface. One or more features of the a first 3D mesh on the first surface can be applied to a second 3D mesh on the second surface using the surface mapping function to produce a modified second surface, which can be rendered through a user interface.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.