Training a machine learning model for reconstructing occluded regions of a face
US12271975B2 · kind B2 · utility
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4References
18Claims
0Family size
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Key dates
| Filing date | Nov 30, 2022 |
| Grant date | Apr 8, 2025 |
| Priority date | — |
| Expiry date | Jun 1, 2043 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06T2210/62
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A machine learning (ML) model is trained using pairs of images. Each pair includes an image of a human face and a duplicate of the image with a computer game headset overlaid on the face using computer graphics. The ML model subsequently can be used to receive an image of a gamer wearing a headset and output a full-face image of the gamer for use in, e.g., social network settings related to the game.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.