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  Computational modeling of face recognition

Wallraven, C., Schwaninger, A., & Bülthoff, H. (2003). Computational modeling of face recognition. In Abstracts of the Psychonomic Society (pp. 26).

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Item Permalink: http://hdl.handle.net/11858/00-001M-0000-0013-DB0F-E Version Permalink: http://hdl.handle.net/21.11116/0000-0005-7616-E
Genre: Meeting Abstract

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 Creators:
Wallraven, C1, 2, Author              
Schwaninger, A1, 2, Author              
Bülthoff, HH1, 2, Author              
Affiliations:
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: Recent psychophysical results on face recognition (Schwaninger et al., 2002) support the notion that processing of faces relies on two separate routes. The first route processes highdetail components of the face (such as eyes, mouth, etc.), whereas the second route processes the configural relationship between these components. This model was successfully used to explain several aspects of face recognition, such as the Thatcher Illusion or the stimuli composed by Young et al. (1987). We discuss a computational framework, in which we implemented configural and component processing using image fragments and their spatial layout. Using the stimuli from the original psychophysical study, we were able to model the recognition performance. In addition, large-scale tests with highly realistic computer-rendered faces from the MPI database show better performance and robustness than do other computational approaches using one processing route only.

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 Dates: 2003-11
 Publication Status: Published in print
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 Identifiers: BibTex Citekey: 2984
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Title: 44th Annual Meeting of The Psychonomic Society
Place of Event: Vancouver, BC, Canada
Start-/End Date: 2003-11-06 - 2003-11-09

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Title: Abstracts of the Psychonomic Society
Source Genre: Proceedings
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Pages: - Volume / Issue: 8 Sequence Number: 53 Start / End Page: 26 Identifier: -