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• W1993722237 abstract "Facial expression is a very useful channel for intelligent human computer communication. In this paper we propose a hybrid method to recognize facial expression. Our main contributions in this study are: first, face region is detected by combing Adaboost, Skin color model and motion history image; second, feature points representing different facial expressions are separated using optical flow; third, a support vector machine classifier is used to classify these feature point's info (location, distance, angle); last, tests to explore the whole facial expression recognition process are conducted and the results are satisfactory." @default.
• W1993722237 created "2016-06-24" @default.
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• W1993722237 date "2008-02-11" @default.
• W1993722237 modified "2023-10-16" @default.
• W1993722237 title "A vision-based hybrid method for facial expression recognition" @default.
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• W1993722237 doi "https://doi.org/10.5555/1363163.1363167" @default.
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