Determining identity of a person in a digital image
US10311288B1 · kind B1 · utility
Assignee
Inventors
Key dates
| Filing date | Mar 24, 2017 |
| Grant date | Jun 4, 2019 |
| Priority date | — |
| Expiry date | Jun 7, 2037 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06F18/214
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Aspects of the current disclosure include systems and methods for identifying a person in a query image by comparing the query image with digital images in a face database. In embodiments, a query feature vector may be extracted from the query image and a set of candidate feature vectors may be extracted from a set of images in the face database. In embodiments, the distances between the query feature vector and the candidate feature vectors are calculated. A feature vector, which includes a set of shortest distances among the calculated distances and a distribution of the set of shortest distances, may be generated. In embodiments, the feature vector is input to a trained decision tree to determine whether the person in the query image is the same person associated with one of the set of shortest distances.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.