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Conference Paper

View-based recognition under illumination changes using local features

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Wallraven,  C
Department Human Perception, Cognition and Action, Max Planck Institute for Biological Cybernetics, Max Planck Society;

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Bülthoff,  HH
Department Human Perception, Cognition and Action, Max Planck Institute for Biological Cybernetics, Max Planck Society;

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Wallraven, C., & Bülthoff, H. (2001). View-based recognition under illumination changes using local features. In CVPR 2001 Workshop on Identifying Objects Across Variations in Lighting: Psychophysics and Computation (pp. 1-8).


Cite as: http://hdl.handle.net/11858/00-001M-0000-0013-E16D-B
Abstract
We present a view-based face recognition system which combines elements from both feature-based and appearance-based approaches to increase recognition performance under illumination changes. It uses corners and their local neighborhood at several scales to construct local features which form the representation of each face image. Matching feature sets takes into account both configurational and appearance-based similarity. We present recognition results on a highly realistic synthetic face-database demonstrating the system's ability to tolerate illumination changes. In addition, the proposed framework agrees well with current findings from psychophysics.