关键词: 人脸3D重建, 光度立体技术, 基于样例学习, 多面体模型

Abstract: Illumination changing from picture to picture is main barrier toward full automatic face recognition.In this paper，a novel method to handle lighting conditions is proposed，which can construct an image of human face in database under arbitrary illumination conditions and also can relight the probe image to no shadow image of human face.We carry out the method by decomposing the“texture image” and the“3D shape” based on the photometric stereo technology，and then using the model of polyhedron to get 3D shape of human face by least-squares-fitting.The 3D shape can be used to update the texture to conquer the influence of cast shadow.When the probe image is inputted，the linear combine of normal vector field and texture in example-database can be used to fit the probe image and then relight the image or reconstruct the 3D shape of human face in probe image.Experimental results on YaleB database show that this method can reconstruct the 3D shape of human face surface in probe image effectively，and synthesize the probe human face image under arbitrary illumination conditions.

Key words: 3D face reconstruction, photometric stereo, example-based, model of polyhedron