Facial Expression Classification through Covariance Matrix Correlations
نویسندگان
چکیده
منابع مشابه
Facial Expression Classification through Covariance Matrix Correlations
505 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. Feat...
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ژورنال
عنوان ژورنال: Journal of information and communication convergence engineering
سال: 2011
ISSN: 2234-8255
DOI: 10.6109/jicce.2011.9.5.505