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Abstract: 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 [25]. But it is still... (Update)
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BibTeX entry: (Update)
W. Zhao and R. Chellappa "IlluminationInsensitive Face Recognition Using Symmetric Shape-from-Shading," IEEE Conference on Computer Vision and Pattern Recognition, (in press), 2000. http://citeseer.ist.psu.edu/zhao00illuminationinsensitive.html More
@inproceedings{ zhaoilluminationinsensitive,
author = "W. Zhao and R. Chellappa",
title = "Illumination-Insensitive Face Recognition using Symmetric Shape-from-Shading",
pages = "286--293",
url = "citeseer.ist.psu.edu/zhao00illuminationinsensitive.html" }
Citations (may not include all citations):19 Human and Machine Recognition of Faces (context) - Chellappa, Wilson et al. - 1995
10 Face Recognition: From Theory to Applications (context) - Wechsler, Phillips et al. - 1998
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