Face recognition using discriminatively trained orthogonal tensor projections
US7936906B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jun 15, 2007 |
| Grant date | May 3, 2011 |
| Priority date | — |
| Expiry date | Mar 2, 2030 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06V10/7715
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Systems and methods are described for face recognition using discriminatively trained orthogonal rank one tensor projections. In an exemplary system, images are treated as tensors, rather than as conventional vectors of pixels. During runtime, the system designs visual features—embodied as tensor projections—that minimize intraclass differences between instances of the same face while maximizing interclass differences between the face and faces of different people. Tensor projections are pursued sequentially over a training set of images and take the form of a rank one tensor, i.e., the outer product of a set of vectors. An exemplary technique ensures that the tensor projections are orthogonal to one another, thereby increasing ability to generalize and discriminate image features over conventional techniques. Orthogonality among tensor projections is maintained by iteratively solving an ortho-constrained eigenvalue problem in one dimension of a tensor while solving unconstrained eigenvalue problems in additional dimensions of the tensor.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.