Method and system for robust human gender recognition using facial feature localization
US8027521B1 · kind B1 · utility
Assignee
Inventors
Key dates
| Filing date | Mar 25, 2008 |
| Grant date | Sep 27, 2011 |
| Priority date | — |
| Expiry date | Jul 28, 2030 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06V40/172
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
The present invention is a method and system to provide a face-based automatic gender recognition system that utilizes localized facial features and hairstyles of humans. Given a human face detected from a face detector, it is accurately localized to facilitate the facial/hair feature detection and localization. Facial features are more finely localized using the geometrically distributed learning machines. Then the position, size, and appearance information of the facial features are extracted. The facial feature localization essentially decouples geometric and appearance information about facial features, so that a more explicit comparison can be made at the recognition stage. The hairstyle features that possess useful gender information are also extracted based on the hair region segmented, using the color discriminant analysis and the estimated geometry of the face. The gender-sensitive feature vector, made up from the extracted facial and hairstyle features, is fed to the gender recognition machines that have been trained using the same kind of gender-sensitive feature vectors of gallery images.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.