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http://dx.doi.org/10.6109/jicce.2011.9.5.505

Facial Expression Classification through Covariance Matrix Correlations  

Odoyo, Wilfred O. (Department of Computer Engineering, Chosun University)
Cho, Beom-Joon (Department of Computer Engineering, Chosun University)
Publication Information
Journal of information and communication convergence engineering / v.9, no.5, 2011 , pp. 505-509 More about this Journal
Abstract
This paper attempts to classify known facial expressions and to establish the correlations between two regions (eye + eyebrows and mouth) in identifying the six prototypic expressions. Covariance is used to describe region texture that captures facial features for classification. The texture captured exhibit the pattern observed during the execution of particular expressions. Feature matching is done by simple distance measure between the probe and the modeled representations of eye and mouth components. We target JAFFE database in this experiment to validate our claim. A high classification rate is observed from the mouth component and the correlation between the two (eye and mouth) components. Eye component exhibits a lower classification rate if used independently.
Keywords
covariance matrices; eigenvectors; facial component features;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
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