Illumination-Insensitive Face Recognition Using Symmetric Shape-from-Shading
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. 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.
Cite
Text
Zhao and Chellappa. "Illumination-Insensitive Face Recognition Using Symmetric Shape-from-Shading." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2000. doi:10.1109/CVPR.2000.855831Markdown
[Zhao and Chellappa. "Illumination-Insensitive Face Recognition Using Symmetric Shape-from-Shading." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2000.](https://mlanthology.org/cvpr/2000/zhao2000cvpr-illumination/) doi:10.1109/CVPR.2000.855831BibTeX
@inproceedings{zhao2000cvpr-illumination,
title = {{Illumination-Insensitive Face Recognition Using Symmetric Shape-from-Shading}},
author = {Zhao, Wen-Yi and Chellappa, Rama},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition},
year = {2000},
pages = {1286-1293},
doi = {10.1109/CVPR.2000.855831},
url = {https://mlanthology.org/cvpr/2000/zhao2000cvpr-illumination/}
}