Face Liveness Detection From a Single Image via Diffusion Speed Model
作者： Wonjun Kim , Sungjoo Suh , Jae-Joon Han
关键词: Liveness 、 Facial recognition system 、 Computer vision 、 Computer science 、 Feature extraction 、 Artificial intelligence 、 Classifier (UML) 、 Single image 、 Spoofing attack
摘要: Spoofing using photographs or videos is one of the most common methods of attacking face recognition and verification systems. In this paper, we propose a real-time and nonintrusive method based on the diffusion speed of a single image to address this problem. In particular, inspired by the observation that the difference in surface properties between a live face and a fake one is efficiently revealed in the diffusion speed, we exploit antispoofing features by utilizing the total variation flow scheme. More specifically, we propose defining the local …
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