Face recognition with combined PCA-based datasets
US8050466B2 · kind B2 · utility
Assignees
Inventors
Key dates
| Filing date | Apr 6, 2009 |
| Grant date | Nov 1, 2011 |
| Priority date | — |
| Expiry date | Jun 23, 2030 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06V10/806
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A face recognition method for working with two or more collections of facial images is provided. A representation framework is determined for a first collection of facial images including at least principle component analysis (PCA) features. A representation of said first collection is stored using the representation framework. A modified representation framework is determined based on statistical properties of original facial image samples of a second collection of facial images and the stored representation of the first collection. The first and second collections are combined without using original facial image samples. A representation of the combined image collection (super-collection) is stored using the modified representation framework. A representation of a current facial image, determined in terms of the modified representation framework, is compared with one or more representations of facial images of the combined collection. Based on the comparing, it is determined which, if any, of the facial images within the combined collection matches the current facial image.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.