Subject identification based on iterated feature representation
US11810385B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Dec 28, 2020 |
| Grant date | Nov 7, 2023 |
| Priority date | — |
| Expiry date | Jan 14, 2042 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06V20/20
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A computer-vision method includes recognizing a feature representation of a query image depicting an unknown subject. A similarity score is computed between the representation of the query image and feature representations of a plurality of gallery images collectively depicting two or more different subjects with at least two or more gallery images for each subject, and each gallery image having a label identifying which of the subjects is depicted. One or more updated feature representations of the query image are sequentially iterated based on one or more of the computed similarity scores. For each of the one or more updated feature representations, an updated similarity score is computed between the updated feature representation and the feature representations of each of the gallery images. The unknown subject is identified based on a gallery image having a highest updated similarity score.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.