Cited By
View all- Batur AHayes M(2004)Segmented Linear Subspaces for Illumination-Robust Face RecognitionInternational Journal of Computer Vision10.1023/B:VISI.0000013090.39095.d557:1(49-66)Online publication date: 1-Apr-2004
Illumination invariant object recognition
Author: 
M. BichselAuthors Info & Claims
Abstract
Varying illumination is severe problem for existing face recognition algorithms. Altering the light direction from left to right, for example, causes a change of contrast in large face regions and causes most face recognition algorithms to fail. Theoretical results, based on the law of incoherent light superposition, provide the solid ground on which a new illumination invariant recognition algorithm is derived. A face recognition experiment demonstrates that this algorithm indeed shows improved recognition performance even if the conditions, for which the theoretical results were derived, do not hold exactly.
- Illumination invariant object recognition
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Published In
October 1995
ISBN:0818673109
Copyright © Copyright (c) 1995 Institute of Electrical and Electronics Engineers, Inc. All rights reserved.
Publisher
IEEE Computer Society
United States
Publication History
Published: 23 October 1995
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View all- Batur AHayes M(2004)Segmented Linear Subspaces for Illumination-Robust Face RecognitionInternational Journal of Computer Vision10.1023/B:VISI.0000013090.39095.d557:1(49-66)Online publication date: 1-Apr-2004