Disentangled representation learning generative adversarial network for pose-invariant face recognition
US11734955B2 · kind B2 · utility
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Key dates
| Filing date | Sep 18, 2018 |
| Grant date | Aug 22, 2023 |
| Priority date | — |
| Expiry date | Sep 18, 2038 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06V40/168
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A system and method for identifying a subject using imaging are provided. In some aspects, the method includes receiving an image depicting a subject to be identified, and applying a trained Disentangled Representation learning-Generative Adversarial Network (DR-GAN) to the image to generate an identity representation of the subject, wherein the DR-GAN comprises a discriminator and a generator having at least one of an encoder and a decoder. The method also includes identifying the subject using the identity representation, and generating a report indicative of the subject identified.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.