Low-cost face recognition using Gaussian receptive field features
US10872230B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Mar 27, 2015 |
| Grant date | Dec 22, 2020 |
| Priority date | — |
| Expiry date | Mar 27, 2035 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06V40/171
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Methods and systems may provide for facial recognition of at least one input image utilizing hierarchical feature learning and pair-wise classification. Receptive field theory may be used on the input image to generate a pre-processed multi-channel image. Channels in the pre-processed image may be activated based on the amount of feature rich details within the channels. Similarly, local patches may be activated based on the discriminant features within the local patches. Features may be extracted from the local patches and the most discriminant features may be selected in order to perform feature matching on pair sets. The system may utilize patch feature pooling, pair-wise matching, and large-scale training in order to quickly and accurately perform facial recognition at a low cost for both system memory and computation.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.