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  Component and configural information in view‐based face recognition

Schwaninger, A., Schumacher, S., Wallraven, C., & Bülthoff, H. (2004). Component and configural information in view‐based face recognition. International Journal of Psychology, 39(5-6): 3073.3, 283.

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Item Permalink: http://hdl.handle.net/21.11116/0000-0003-62E0-1 Version Permalink: http://hdl.handle.net/21.11116/0000-0005-67AF-3
Genre: Meeting Abstract

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 Creators:
Schwaninger, A1, 2, Author              
Schumacher, S, Author
Wallraven, C1, 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, ou_1497794              

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 Abstract: Everyday life requires us to identify different faces in many different poses and views. In this study we used the inter‐extra‐ortho paradigm from Bülthoff & Edelman (1992) in order to investigate what kinds of information are used for recognizing faces across viewpoint. The results of three experiments provided clear evidence that faces are encoded, stored and recognized across viewpoint using component and configural information. Moreover, it was found that part‐based processing is substantially more viewpoint dependent than processing configural information. Systematic effects of viewpoint are discussed in a computational framework based on key frames that allowed modelling the psychophysical data.

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 Dates: 2004-10
 Publication Status: Published in print
 Pages: -
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 Rev. Method: -
 Identifiers: DOI: 10.1080/00207594.2004.20040811
 Degree: -

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Title: XXVIII International Congress of Psychology (IUPsyS 2004)
Place of Event: Beijing, China
Start-/End Date: 2004-08-08 - 2004-08-13

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Title: International Journal of Psychology
  Other : Int. J. Psychol.
Source Genre: Journal
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Publ. Info: Paris : Dunod
Pages: - Volume / Issue: 39 (5-6) Sequence Number: 3073.3 Start / End Page: 283 Identifier: ISSN: 0020-7594
CoNE: https://pure.mpg.de/cone/journals/resource/954925254127