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  Sex classification is better with three-dimensional head structure than with image intensity information

O'Toole, A., Vetter, T., Troje, N., & Bülthoff, H. (1997). Sex classification is better with three-dimensional head structure than with image intensity information. Perception, 26(1), 75-84. doi:10.1068/p260075.

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Item Permalink: http://hdl.handle.net/11858/00-001M-0000-0013-EA7C-E Version Permalink: http://hdl.handle.net/21.11116/0000-0006-9EB0-1
Genre: Journal Article

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 Creators:
O'Toole, AJ, Author              
Vetter, T1, 2, Author              
Troje, NF1, 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: The sex of a face is perhaps its most salient feature. A principal components analysis (PCA) was applied separately to the three-dimensional (3-D) structure and graylevel image (GLI) data from laser-scanned human heads. Individual components from both analyses captured information related to the sex of the face. Notably, single projection coefficients characterized complex differences between the 3-D structure of male and female heads and between male and female GLI maps. In a series of simulations, the quality of the information available in the 3-D head versus GLI data for predicting the sex of the face has been compared. The results indicated that the 3-D head data supported more accurate sex classification than the GLI data, across a range of PCA-compressed (dimensionality-reduced) representations of the heads. This kind of dual face representation can give insight into the nature of the information available to humans for categorizing and remembering faces.

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 Dates: 1997-01
 Publication Status: Published in print
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 Identifiers: DOI: 10.1068/p260075
BibTex Citekey: 375
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Title: Perception
Source Genre: Journal
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Publ. Info: London : Pion Ltd.
Pages: - Volume / Issue: 26 (1) Sequence Number: - Start / End Page: 75 - 84 Identifier: ISSN: 0301-0066
CoNE: https://pure.mpg.de/cone/journals/resource/954925509369