Facial Expression Recognition Using Appearance Approach
نویسندگان
چکیده
This paper provides a new approach to recognize facial expressions. In this paper, facial expression recognition is based on appearance based features or we can say that low level features. We used two different approaches to categories the expression into seven different classes. These classifications based on Scale Invariant Feature Transform (SIFT) and Local Gabor Binary Filter (LGBP). First, SIFT feature vector are extracted. We also perform the LGBP to extract the low level features. LGBP used 5 frequencies and 8 orientations. Our analysis based on JAFFE database. The experimental results show that the average recognition rates of different expressions, which is 88.4%. KeywordsFacial expression recognition; SIFT; LGBP.
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تاریخ انتشار 2014