Semantic deep face models
US11276231B2 · kind B2 · utility
Assignees
Inventors
Key dates
| Filing date | Mar 4, 2020 |
| Grant date | Mar 15, 2022 |
| Priority date | — |
| Expiry date | Mar 4, 2040 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06T2219/2021
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Techniques are disclosed for training and applying nonlinear face models. In embodiments, a nonlinear face model includes an identity encoder, an expression encoder, and a decoder. The identity encoder takes as input a representation of a facial identity, such as a neutral face mesh minus a reference mesh, and outputs a code associated with the facial identity. The expression encoder takes as input a representation of a target expression, such as a set of blendweight values, and outputs a code associated with the target expression. The codes associated with the facial identity and the facial expression can be concatenated and input into the decoder, which outputs a representation of a face having the facial identity and expression. The representation of the face can include vertex displacements for deforming the reference mesh.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.