Face recognition apparatus and method using PCA learning per subgroup
US7734087B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Dec 3, 2004 |
| Grant date | Jun 8, 2010 |
| Priority date | — |
| Expiry date | Sep 13, 2027 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06V10/7715
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A face recognition apparatus and method using Principal Component Analysis (PCA) learning per subgroup, the face recognition apparatus includes: a learning unit which performs Principal Component Analysis (PCA) learning on each of a plurality of subgroups constituting a training data set, and then performs Linear Discriminant Analysis (LDA) learning on the training data set, thereby generating a PCA-based LDA (PCLDA) basis vector set of each subgroup; a feature vector extraction unit which projects a PCLDA basis vector set of each subgroup to an input image and extracts a feature vector set of the input image with respect to each subgroup; a feature vector storing unit which projects a PCLDA basis vector set of each subgroup to each of a plurality of face images to be registered, thereby generating a feature vector set of each registered image with respect to each subgroup, and storing the feature vector set in a database; and a similarity calculation unit which calculates a similarity between the input image and each registered image.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.