Heterogeneous Face Recognition

Heterogeneous face recognition is a task in the field of computer vision that aims to match face images acquired from different sources (such as different sensors or wavelengths) to achieve identity recognition or verification. This technology enhances the robustness and adaptability of face recognition by addressing the differences in cross-modal data, making it particularly valuable in scenarios such as security surveillance and identity authentication.