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  Stimulus-specific effects in face recognition over changes in viewpoint

O'Toole, A., Edelman, S., & Bülthoff, H.(1996). Stimulus-specific effects in face recognition over changes in viewpoint (31). Tübingen, Germany: Max Planck Institute for Biological Cybernetics.

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Item Permalink: http://hdl.handle.net/11858/00-001M-0000-0013-EB6C-E Version Permalink: http://hdl.handle.net/21.11116/0000-0002-934E-1
Genre: Report

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MPIK-TR-31.pdf (Publisher version), 244KB
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 Creators:
O'Toole, AJ, Author              
Edelman, S, 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: The ability of observers to recognize faces across changes in viewpoint has been found previously to decline as the angle between learn and test view grows. We replicate this result, but show that the recognizability of individual faces across changes in viewpoint cannot be characterized adequately in this way. An analysis of the recognizability of individual faces in different viewpoint transfer conditions indicated that the representations of faces we make from different views may be only modestly related. We propose and implement a two-stage computational model of face recognition following Lando and Edelman (1995) that operates by: (a) transforming a previously unknown view of a face into other views, one of which may be known; and by (b) recognizing the transformed face views via an interpolation process that operates directly on the structure of the similarity relationships among faces. By combining model and human measures at the level of individual faces, using factor analysis, we isolate relatively consistent orthogonal loading patterns for three learn view conditions (full, three-quarters, profile) with respect to the human and model measures. The axes stemming from the factor analysis are interpretable in terms of recognition transfer success based on: (a) large scale distinctive global features such as head shape, (b) smaller scale distinctive features such as large noses; and (c) distinctive skin tone.

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 Dates: 1996-06
 Publication Status: Published in print
 Pages: 13
 Publishing info: Tübingen, Germany : Max Planck Institute for Biological Cybernetics
 Table of Contents: -
 Rev. Type: -
 Identifiers: Report Nr.: 31
BibTex Citekey: 1494
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Title: Technical Report of the Max Planck Institute for Biological Cybernetics
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Pages: - Volume / Issue: 31 Sequence Number: - Start / End Page: - Identifier: -