Building systems for tracking facial features across individuals and groups
US9111134B1 · kind B1 · utility
Assignee
Inventors
Key dates
| Filing date | Mar 12, 2013 |
| Grant date | Aug 18, 2015 |
| Priority date | — |
| Expiry date | Jan 25, 2034 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06V40/174
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Computer implemented methods for generating a non-transient record of feature locations and/or facial expression parameters characterizing a person's face. A video sequence of a specified individual person is received and a feature locator update model is applied to the video sequence. The feature locator update model is derived by defining a set of training images, generating a set of facial feature displacements for each training image with associated image sample vectors, and training a regularized linear regression which maps from image sample vectors to displacement vectors, wherein the regularization includes a spatial smoothness term within the shape-free sample space. A feature location and/or a facial expression parameter is then extracted, based on the feature update model, characterizing the location, and/or the expression, of the feature of the face of the specified individual person.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.