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Content Provider | IEEE Xplore Digital Library |
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Author | Wen Yi Zhao Chellappa, R. |
Copyright Year | 2000 |
Description | Author affiliation: Center for Autom. Res., Maryland Univ., College Park, MD, USA (Wen Yi Zhao) |
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. |
Starting Page | 286 |
Ending Page | 293 |
File Size | 266215 |
Page Count | 8 |
File Format | |
ISBN | 0769506623 |
ISSN | 10636919 |
DOI | 10.1109/CVPR.2000.855831 |
Language | English |
Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Publisher Date | 2000-06-15 |
Access Restriction | Subscribed |
Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Subject Keyword | Face recognition Lighting Shape Robustness Prototypes System performance Shadow mapping Automation Educational institutions Image databases |
Content Type | Text |
Resource Type | Article |
Subject | Computer Vision and Pattern Recognition Software |
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