Face Spoofing Detection for Smartphones using a 3D Reconstruction and the Motion Sensors

Face recognition system is proven to be vulnerable to face spoofing attack. Many approaches have been proposed in the literature to resolve this vulnerability. This paper proposes a novel method dedicated to mobile systems. The approach asks users to capture a video by moving the device around their face. Thanks to a 3D reconstruction process, the shape of the object is estimated from the video. By evaluating this 3D shape, we can rapidly eliminate attacks in which a photo of a legitimate face is used. Then, the camera’s poses estimated from the 3D reconstruction is used to be compared to the data captured from the device’s motion sensors. Experimental results on a real database show the efficiency of the proposed approach.