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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Bibliographic Details
Published in:Psychological science Vol. 24; no. 7; pp. 1294 - 1300
Main Authors: Nestor, Adrian, Plaut, David C., Behrmann, Marlene
Format: Journal Article
Language:English
Published: Los Angeles, CA SAGE Publications 01.07.2013
Sage Publications
SAGE PUBLICATIONS, INC
Subjects:
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
Online Access:Get full text
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Summary: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.
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ISSN:0956-7976
1467-9280
1467-9280
DOI:10.1177/0956797612464889