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18th International Conference on Pattern Recognition (ICPR'06) Volume 1
The Role of Featural and Configural Information in Face Classification A Simulation of the Expertise Hypothesis
Hong Kong
August 20-August 24
ISBN: 0-7695-2521-0
ASCII Text
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Yafei Sun, Nicu Sebe, Michel Mercera, "The Role of Featural and Configural Information in Face Classification A Simulation of the Expertise Hypothesis," Pattern Recognition, International Conference on, vol. 1, pp. 1166-1170, 18th International Conference on Pattern Recognition (ICPR'06) Volume 1, 2006.
 
 
BibTex
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@article{ 10.1109/ICPR.2006.1122,
author = {Yafei Sun and Nicu Sebe and Michel Mercera},
title = {The Role of Featural and Configural Information in Face Classification A Simulation of the Expertise Hypothesis},
journal ={Pattern Recognition, International Conference on},
volume = {1},
year = {2006},
issn = {1051-4651},
pages = {1166-1170},
doi = {http://doi.ieeecomputersociety.org/10.1109/ICPR.2006.1122},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - Pattern Recognition, International Conference on
TI - The Role of Featural and Configural Information in Face Classification A Simulation of the Expertise Hypothesis
SN - 1051-4651
SP1166
EP1170
A1 - Yafei Sun,
A1 - Nicu Sebe,
A1 - Michel Mercera,
PY - 2006
KW - null
VL - 1
JA - Pattern Recognition, International Conference on
ER -
 
Yafei Sun, Sichuan University, China
Nicu Sebe, University of Amsterdam, The Netherlands
Michel Mercera, Leiden University, The Netherlands
Face recognition in adults is the product of a unique mechanism in the brain and it is based on years of experience. The goal of this paper is to analyze the role of configural and featural information for face classification and to compare the performance of Bayesian Network classifiers with the human performance in three experiments: similarity matching, gender, and race classification. Our results show that despite the fact that the machine classification results are worse than the one of the humans, they are consistent with human classification results.
Citation:
Yafei Sun, Nicu Sebe, Michel Mercera, "The Role of Featural and Configural Information in Face Classification A Simulation of the Expertise Hypothesis," icpr, vol. 1, pp.1166-1170, 18th International Conference on Pattern Recognition (ICPR'06) Volume 1, 2006
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