TY - JOUR
T1 - Chapter 18 Processing of facial identity and expression
T2 - a psychophysical, physiological, and computational perspective
AU - Schwaninger, Adrian
AU - Wallraven, Christian
AU - Cunningham, Douglas W.
AU - Chiller-Glaus, Sarah D.
N1 - Copyright:
Copyright 2008 Elsevier B.V., All rights reserved.
PY - 2006
Y1 - 2006
N2 - A deeper understanding of how the brain processes visual information can be obtained by comparing results from complementary fields such as psychophysics, physiology, and computer science. In this chapter, empirical findings are reviewed with regard to the proposed mechanisms and representations for processing identity and emotion in faces. Results from psychophysics clearly show that faces are processed by analyzing component information (eyes, nose, mouth, etc.) and their spatial relationship (configural information). Results from neuroscience indicate separate neural systems for recognition of identity and facial expression. Computer science offers a deeper understanding of the required algorithms and representations, and provides computational modeling of psychological and physiological accounts. An interdisciplinary approach taking these different perspectives into account provides a promising basis for better understanding and modeling of how the human brain processes visual information for recognition of identity and emotion in faces.
AB - A deeper understanding of how the brain processes visual information can be obtained by comparing results from complementary fields such as psychophysics, physiology, and computer science. In this chapter, empirical findings are reviewed with regard to the proposed mechanisms and representations for processing identity and emotion in faces. Results from psychophysics clearly show that faces are processed by analyzing component information (eyes, nose, mouth, etc.) and their spatial relationship (configural information). Results from neuroscience indicate separate neural systems for recognition of identity and facial expression. Computer science offers a deeper understanding of the required algorithms and representations, and provides computational modeling of psychological and physiological accounts. An interdisciplinary approach taking these different perspectives into account provides a promising basis for better understanding and modeling of how the human brain processes visual information for recognition of identity and emotion in faces.
KW - component and configural processing
KW - computational modeling of face processing
KW - face processing modules
KW - face recognition
KW - facial expression
KW - interdisciplinary approach
KW - psychophysics of face processing
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U2 - 10.1016/S0079-6123(06)56018-2
DO - 10.1016/S0079-6123(06)56018-2
M3 - Review article
C2 - 17015089
AN - SCOPUS:33749076642
SN - 0079-6123
VL - 156
SP - 321
EP - 343
JO - Progress in Brain Research
JF - Progress in Brain Research
ER -