Markerless face tracking with synthetic priors
US10147023B1 · kind B1 · utility
Assignee
Inventors
Key dates
| Filing date | Oct 20, 2016 |
| Grant date | Dec 4, 2018 |
| Priority date | — |
| Expiry date | Mar 9, 2037 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06T2207/30201
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Provided are methods, systems, and computer-readable medium for synthetically generating training data to be used to train a learning algorithm that is capable of generating computer-generated images of a subject from real images that include the subject. The training data can be generated using a facial rig by changing expressions, camera viewpoints, and illumination in the training data. The training data can then be used for tracking faces in a real-time video stream. In such examples, the training data can be tuned to expected environmental conditions and camera properties of the real-time video stream. Provided herein are also strategies to improve training set construction by analyzing which attributes of a computer-generated image (e.g., expression, viewpoint, and illumination) require denser sampling.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.