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  View-based recognition under illumination changes using local features

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).

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Wallraven, C1, 2, Author           
Bülthoff, HH1, 2, Author           
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1Department Human Perception, Cognition and Action, Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_1497797              
2Max Planck Institute for Biological Cybernetics, Max Planck Society, Spemannstrasse 38, 72076 Tübingen, DE, ou_1497794              

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 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.

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 Dates: 2001-12
 Publication Status: Published online
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 Identifiers: BibTex Citekey: 951
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Title: CVPR 2001 Workshop on Identifying Objects Across Variations in Lighting: Psychophysics and Computation
Place of Event: Kauai, HI, USA
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Title: CVPR 2001 Workshop on Identifying Objects Across Variations in Lighting: Psychophysics and Computation
Source Genre: Proceedings
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Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 1 - 8 Identifier: -