System for synthesizing data
US11537813B1 · kind B1 · utility
Assignee
Inventors
Key dates
| Filing date | Sep 30, 2020 |
| Grant date | Dec 27, 2022 |
| Priority date | — |
| Expiry date | Mar 14, 2041 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06V40/14
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
During a training phase, a first machine learning system is trained using actual data, such as multimodal images of a hand, to generate synthetic image data. During training, the first system determines latent vector spaces associated with identity, appearance, and so forth. During a generation phase, latent vectors from the latent vector spaces are generated and used as input to the first machine learning system to generate candidate synthetic image data. The candidate image data is assessed to determine suitability for inclusion into a set of synthetic image data that may be used for subsequent use in training a second machine learning system to recognize an identity of a hand presented by a user. For example, the candidate synthetic image data is compared to previously generated synthetic image data to avoid duplicative synthetic identities. The second machine learning system is then trained using the approved candidate synthetic image data.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.