Human Face Reconstruction under a HMD Occlusion

With the help of existing augmented vision perception motion capture technologies, virtual reality (VR) can make users immerse in virtual environments. But users are difficult to convey their actual emotions to others in virtual environments. Since the head-mounted displays (HMDs) significantly obstruct users face, it is hard to recover the full face directly with traditional techniques. In this paper, we introduce a novel method to address this problem by only using the RGB image of a person, without the need of any other sensors or devices. Firstly, we utilize the facial landmark points to estimate the face shape, expression and pose of the user. Then with the information of the Non occlusion face area, we could recover the face texture and the illumination of the current scene.