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  How is bilateral symmetry of human faces used for recognition of novel views?

Troje, N., & Bülthoff, H.(1996). How is bilateral symmetry of human faces used for recognition of novel views? (38). Tübingen, Germany: Max Planck Institute for Biological Cybernetics.

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Troje, N1, 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: The role of bilateral symmetry in face recognition is investigated in two psychophysics experiments using a same/different paradigm. The results of Experiment 1 confirm the hypothesis that the ability to identify mirror symmetric patterns is used for viewpoint generalization by approximating the view symmetric to the learned view
by its mirror reversed image. The results of Experiment 2 show that the match between this virtual view and the test image is performed directly between the images. Performance drops dramatically if the symmetry between the intensity patterns of the learning and the test view is disturbed by an asymmetric illumination, although the symmetry
between the spatial arrangement of high-level features is retained. A simple image based model can explain important aspects of the data and we show how this model can be extended towards a general algorithm for image comparison. Experimental results and the model are discussed in terms of their relation to existing approaches to object recognition.

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 Dates: 1996-08
 Publication Status: Issued
 Pages: -
 Publishing info: Tübingen, Germany : Max Planck Institute for Biological Cybernetics
 Table of Contents: -
 Rev. Type: -
 Identifiers: Report Nr.: 38
BibTex Citekey: 1502
 Degree: -

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Title: Technical Report of the Max Planck Institute for Biological Cybernetics
Source Genre: Series
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Pages: - Volume / Issue: 38 Sequence Number: - Start / End Page: - Identifier: -