Automatic Facial Expression Recognition with AAM-Based Feature Extraction and SVM Classifier
In this paper, an effective method is proposed for automatic facial expression recognition from static images. First, a modified Active Appearance Model (AAM) is used to locate facial feature points automatically. Then, based on this, facial feature vector is formed. Finally, SVM classifier with a sample selection method is adopted for expression classification. Experimental results on the JAFFE database demonstrate an average recognition rate of 69.9% for novel expressers, showing that the proposed method is promising.
KeywordsFacial Expression Local Binary Pattern Expression Recognition Facial Expression Recognition Active Appearance Model
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