面向多模态特征融合的人脸活体检测方法及系统
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- TIBET UNIVERSITY FOR NATIONALITIES
- Filing Date
- 2026-04-24
- Publication Date
- 2026-07-17
AI Technical Summary
Existing single-modal face liveness detection technologies are not robust enough in the face of complex and ever-changing deception methods, and are difficult to effectively distinguish between real liveness and fake attacks. Furthermore, existing multimodal fusion methods fail to make full use of the complementarity and semantic affinity between modalities.
A multimodal feature fusion method is adopted, which simultaneously acquires RGB, infrared and depth images, uses Gabor filter kernels for texture enhancement and pixel-level registration, combines shallow convolutional networks and dual-branch processing to construct cross-modal affinity matrix and feature transfer mechanism, performs channel and spatial attention weighting, and finally uses a binary classifier for liveness detection.
It significantly improves the accuracy and generalization ability of multimodal face liveness detection, maintains stable feature representation under non-ideal imaging conditions, reduces computational burden and improves discrimination efficiency, and enhances the ability to distinguish complex attacks.
Smart Images
Figure CN122116492B_ABST