Detecting forged facial images using frequency domain information and local correlation
US12387527B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Nov 21, 2022 |
| Grant date | Aug 12, 2025 |
| Priority date | — |
| Expiry date | Mar 20, 2044 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06V10/82
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
An image detection method includes obtaining a facial image, and obtaining a frequency-domain image of the facial image and a spatial-domain feature of the facial image, the frequency-domain image being obtained by performing frequency-domain transformation on the facial image. The spatial-domain feature is obtained by performing feature extraction on the facial image. The method further includes performing feature extraction based on the frequency-domain image, to obtain a frequency-domain feature of the facial image, and fusing the spatial-domain feature and the frequency-domain feature by using an attention fusion network of a facial image detection model, to obtain a fused feature of the facial image. The method further includes obtaining a detection result of the facial image based on the fused feature, the detection result indicating whether the facial image is a forged facial image.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.