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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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https://journals.sagepub.com/doi/10.1068/p260075 (Verlagsversion)
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O'Toole, AJ, Autor           
Vetter, T1, 2, Autor           
Troje, NF1, 2, Autor           
Bülthoff, HH1, 2, Autor           
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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 Zusammenfassung: 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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 Datum: 1997-01
 Publikationsstatus: Erschienen
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 Ort, Verlag, Ausgabe: -
 Inhaltsverzeichnis: -
 Art der Begutachtung: -
 Identifikatoren: DOI: 10.1068/p260075
BibTex Citekey: 375
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Titel: Perception
Genre der Quelle: Zeitschrift
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Ort, Verlag, Ausgabe: London : Pion Ltd.
Seiten: - Band / Heft: 26 (1) Artikelnummer: - Start- / Endseite: 75 - 84 Identifikator: ISSN: 0301-0066
CoNE: https://pure.mpg.de/cone/journals/resource/954925509369