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Shadow compensation in 2D images for face recognition

9 years 11 months ago
Shadow compensation in 2D images for face recognition
Illumination variation that occurs on face images degrades the performance of face recognition. In this paper, we propose a novel approach to handling illumination variation for face recognition. Since most human faces are similar in shape, we can find the shadow characteristics, which the illumination variation makes on the faces depending on the direction of light. By using these characteristics, we can compensate for the illumination variation on face images. The proposed method is simple and requires much less computational effort than the other methods based on 3D models, and at the same time, provides a comparable recognition rate. ᭧ 2006 Pattern Recognition Society. Published by Elsevier Ltd. All rights reserved.
Sang-Il Choi, Chunghoon Kim, Chong-Ho Choi
Added 27 Dec 2010
Updated 27 Dec 2010
Type Journal
Year 2007
Where PR
Authors Sang-Il Choi, Chunghoon Kim, Chong-Ho Choi
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