Face recognition in big data ecosystem using multiple recognition models
US10026022B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Sep 8, 2017 |
| Grant date | Jul 17, 2018 |
| Priority date | — |
| Expiry date | Sep 8, 2037 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06V40/16
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A system trains a facial recognition modeling system using an extremely large data set of facial images, by distributing a plurality of facial recognition models across a plurality of nodes within the facial recognition modeling system. The system optimizes a facial matching accuracy of the facial recognition modeling system by increasing a facial image set variance among the plurality of facial recognition models. The system selectively matches each facial image within the extremely large data set of facial images with at least one of the plurality of facial recognition models. The system reduces the time associated with training the facial recognition modeling system by load balancing the extremely large data set of facial images across the plurality of facial recognition models while improving the facial matching accuracy associated with each of the plurality of facial recognition models.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.