3D Face Reconstruction and Gaze Estimation from Multi-view Video using Symmetry Prior

In this paper we propose a novel method that performs 3D face reconstruction, and non-constrained and non-contact gaze estimation on a moving object, whose head-pose can freely change, from multi-view video. The main idea is to first reconstruct the 3D face with high accuracy using symmetry prior. Then we generate a super-resolution virtual frontal face video from the estimated 3D face geometry and the original multi-view video. Finally a 3D eyeball model is introduced to estimate the three-dimensional gaze direction from the virtual frontal face video. Experiments with real data illustrate the effectiveness of our method.