A 3D Face Reconstruction and Recognition Method Based on Passive Binocular Stereo Vision
基于双目被动立体视觉的三维人脸重构与识别

In this paper, we present a 3D face recognition method based on passive binocular stereo vision. We introduce non-contact face information-collecting technique and use weak feature-detection method on static image to achieve face disparity estimation. Furthermore, we employ phase-correlation in complex wavelet to perform sub-pixel small region matching on the surface of human face, and reconstruct 3D point cloud information of human face. Neural network is applied to obtain multilevel face surface reconstruction. Combining with 2D image of human face, we affine and normalize the reconstructed surfaces, carry out feature extraction and recognition. The experiment shows that this method is robust against surroundings, as well as the position and expression of human face. Moreover, it has high accuracy and quick recognition speed.