In this paper we propose a model-assisted binocular stereo algorithm for 3D face reconstruction. First, stereo
correspondence is reliably performed between input stereo images by employing a 3D reference face model as a
medium. Then, a high-quality dataset of point cloud is generated by triangulation from the stereo correspondence.
Finally, an accurate and feature-preserving 3D face surface is reconstructed from the point cloud dataset by a
denoising operation of bilateral filtering and surface meshing. We have compared the reconstructed faces with
ground truth 3D data. The experimental results show that the proposed algorithm is effective with the average
error of 2.6mm.