Learning model for salient facial region detection
US10579860B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Mar 3, 2017 |
| Grant date | Mar 3, 2020 |
| Priority date | — |
| Expiry date | Mar 11, 2037 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06V40/178
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
One embodiment provides a method comprising receiving a first input image and a second input image. Each input image comprises a facial image of an individual. For each input image, a first set of facial regions of the facial image is distinguished from a second set of facial regions of the facial image based on a learning based model. The first set of facial regions comprises age-invariant facial features, and the second set of facial regions comprises age-sensitive facial features. The method further comprises determining whether the first input image and the second input images comprise facial images of the same individual by performing face verification based on the first set of facial regions of each input image.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.