Face-Space Architectures: Evidence for the Use of Independent Color-Based Features

The concept of psychological face space lies at the core of many theories of face recognition and representation. To date, much of the understanding of face space has been based on principal component analysis (PCA); the structure of the psychological space is thought to reflect some important aspec...

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Vydáno v:	Psychological science Ročník 24; číslo 7; s. 1294 - 1300
Hlavní autoři:	Nestor, Adrian, Plaut, David C., Behrmann, Marlene
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Los Angeles, CA SAGE Publications 01.07.2013 Sage Publications SAGE PUBLICATIONS, INC
Témata:	Adult Architectural models Architecture Biological and medical sciences Cognitive psychology Color Color Perception - physiology Colour perception Computer pattern recognition Computer Simulation Encoding Experimental psychology Experiments Face Face (Body) Face recognition Facial expressions Female Fundamental and applied biological sciences. Psychology Humans Judgement Linear discriminant analysis Male Mental stimulation Models, Psychological Perception Principal Component Analysis Principal components analysis Psychological aspects Psychological theories Psychology Psychology. Psychoanalysis. Psychiatry Psychology. Psychophysiology Recognition Research Report Social psychology Vision Visual perception Visual Perception - physiology Young Adult face perception independent component analysis face recognition computer simulation color perception facial features face space principal component analysis Human Computer simulation Cognition Experimental study Color vision Perception Face Recognition Principal component analysis
ISSN:	0956-7976, 1467-9280, 1467-9280
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Popis
Shrnutí:	The concept of psychological face space lies at the core of many theories of face recognition and representation. To date, much of the understanding of face space has been based on principal component analysis (PCA); the structure of the psychological space is thought to reflect some important aspects of a physical face space characterized by PCA applications to face images. In the present experiments, we investigated alternative accounts of face space and found that independent component analysis provided the best fit to human judgments of face similarity and identification. Thus, our results challenge an influential approach to the study of human face space and provide evidence for the role of statistically independent features in face encoding. In addition, our findings support the use of color information in the representation of facial identity, and we thus argue for the inclusion of such information in theoretical and computational constructs of face space.
Bibliografie:	SourceType-Scholarly Journals-1 ObjectType-Feature-1 content type line 14 ObjectType-Article-1 ObjectType-Feature-2 content type line 23 ObjectType-Article-2
ISSN:	0956-7976 1467-9280 1467-9280
DOI:	10.1177/0956797612464889