Illumination-insensitive face recognition using symmetricshape-from-shading
Wen Yi Zhao; Chellappa, R.
Computer Vision and Pattern Recognition, 2000. Proceedings. IEEE Conference on
Volume 1, Issue , 2000 Page(s):286 - 293 vol.1
Digital Object Identifier   10.1109/CVPR.2000.855831
Summary:Sensitivity to variations in illumination is a fundamental and challenging problem in face recognition. In this paper, we describe a new method based on symmetric shape-from-shading (SSFS) to develop a face recognition system that is robust to changes in illumination. The basic idea of this approach is to use the SSFS algorithm as a tool to obtain a prototype image which is illumination-normalized. It has been shown that the SSFS algorithm has a unique point-wise solution. But it is still difficult to recover accurate shape information given a single real face image with complex shape and varying albedo. In stead, we utilize the fact that all faces share a similar shape making the direct computation of the prototype image from a given face image feasible. Finally, to demonstrate the efficacy of our method, we have applied it to several publicly available face databases

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