Facial image reconstruction method and system
US10970526B1 · kind B1 · utility
Assignee
Inventors
Key dates
| Filing date | Dec 16, 2019 |
| Grant date | Apr 6, 2021 |
| Priority date | — |
| Expiry date | Dec 16, 2039 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06V40/173
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
In a training phase of a facial image reconstruction system, a thermal facial image is input into a convolutional encoder and a pre-trained thermal facial recognition model for feature fusion. The fusion result is input into a convolutional decoder for visible facial image reconstruction. A hybrid loss function is used in the training phase. In the training phase, the reconstructed visible facial image and its corresponding real visible facial image are input into the pre-trained visible facial recognition model and the pre-trained facial landmark detection model to calculate the hybrid loss function for model learning and parameter update.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.