Expression Intensity Recognition Based on Multilayer Hybrid Classifier
作者： Xia Mao , Chongping Wang , Yuli Xue
DOI: 10.1007/978-3-642-33932-5_69
关键词:
摘要: In this paper, an automatic system for recognizing expression intensity is proposed. Modified Active Appearance Model (MAAM) utilized to extract facial feature points (FFPs), and then, according the FFPs’ position, sequence preprocessed. Coarse-to-fine pyramid algorithm employed track FFPs extracting 23 optical flow vectors, eliminating error caused by rigid movement of head. Expression recognized multilayer hybrid classifier. Support Vector Machine (SVM) classifies in form KNN classifier recognizes intensity. We conduct experiments on Cohn-Kanade database result shows good effect.
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