1. Feature extraction using local binary pattern: an application for illumination invariant facial expression recognition
Authors : Zankhana Shah
Pages : 482-488
DOI : http://dx.doi.org/10.21172/1.71.068
Keywords : Feature ExtractionLocal Binary PatternIllumination VariationExpression Classification Abstract :Facial expressions play an important role in the area of human computer interaction. They are most commonly used for interpretation of human emotions. Three are 6 emotions which are universally accepted. They are happy, sad, angry, disgust, fear, and surprise. In this paper, application of local binary pattern (LBP) for facial expression recognition in different illumination conditions have shown. The proposed method consists of mainly three sub tasks: Pre-processing, Facial feature extraction and Facial expression classification. LBP is used for feature extraction. The extracted features are used as an input to the classifier for expression classification. For experimental purpose, the JAFFE (Japanese Female Facial Expression) database, which contain images with variation in illumination is used.
Citing this Journal Article :Zankhana Shah, "Feature extraction using local binary pattern: an application for illumination invariant facial expression recognition ", Volume 7 Issue 1 - May 2016, 482-488
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