Predicting facial expressions using character motion states
US12374014B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Dec 7, 2021 |
| Grant date | Jul 29, 2025 |
| Priority date | — |
| Expiry date | May 2, 2042 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06T17/205
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Systems and methods for identifying one or more facial expression parameters associated with a pose of a character are disclosed. A system may execute a game development application to identify facial expression parameters for a particular pose of a character. The system may receive an input identifying the pose of the character. Further, the system may provide the input to a machine learning model. The machine learning model may be trained based on a plurality of poses and expected facial expression parameters for each pose. Further, the machine learning model can identify a latent representation of the input. Based on the latent representation of the input, the machine learning model can generate one or more facial expression parameters of the character and output the one or more facial expression parameters. The system may also generate a facial expression of the character and output the facial expression.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.