Siamese reconstruction convolutional neural network for pose-invariant face recognition
US10474883B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Nov 3, 2017 |
| Grant date | Nov 12, 2019 |
| Priority date | — |
| Expiry date | Jan 19, 2038 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG08B13/19697
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A computer-implemented method, system, and computer program product is provided for pose-invariant facial recognition. The method includes generating, by a processor using a recognition neural network, a rich feature embedding for identity information and non-identity information for each of one or more images. The method also includes generating, by the processor using a Siamese reconstruction network, one or more pose-invariant features by employing the rich feature embedding for identity information and non-identity information. The method additionally includes identifying, by the processor, a user by employing the one or more pose-invariant features. The method further includes controlling an operation of a processor-based machine to change a state of the processor-based machine, responsive to the identified user in the one or more images.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.