Appearance capture under ambient lighting conditions using a deep-learning neural network model
US12205225B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Oct 24, 2022 |
| Grant date | Jan 21, 2025 |
| Priority date | — |
| Expiry date | Apr 6, 2043 |
Classification
- Technology area (CPC H)Electricity
- CPC primaryH04N13/239
- WIPO fieldAudio-visual technology
- WIPO sectorElectrical engineering
Abstract
A method is described which includes receiving a number of object images of an object. Each object image corresponds to a different view direction. First and second object images correspond to first and second directions. A mesh is determined corresponding to the target region of the object surface based on a first subset of the number of object images. Diffuse and specular maps are determined corresponding to the target region of the object surface based on processing a second subset of the object images using a deep learning neural network model trained to estimate diffuse and specular albedo components based on an input image. A tangent normal map is determined corresponding to the target region of the object surface based on high-pass filtering each object image of the second subset. The method also includes storing and/or outputting the mesh, the diffuse map, the specular map and the tangent normal map.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.