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《Computer Applications and Software》 2017-01
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MICRO EXPRESSION RECOGNITION BASED ON DIFFERENTIAL POSITIONING AND OPTICAL FLOW FEATURE EXTRACTION

Xu Gang;Zhao Zhongyuan;Tan Yuanpeng;School of Electrical and Electronic Engineering,North China Electric Power University;  
Existing micro expression recognition algorithm has the problems of redundancy in extracting feature and long processing time. In view of this,we proposed a micro expression recognition method which is based on differential positioning and optical flow feature extraction. First,it applies image sequence difference on sensitive parts of facial expression,delimits motion area on face by differential projection value. Then it calculates principal component feature of optical flow analysis data in motion area. Finally,it uses support vector machine to determine the number of facial movement unit and recognises the category of micro expression. Experimental results showed that compared with conventional recognition technology,this algorithm has significant improvement on efficiency and accuracy of micro expression recognition.
【Fund】: 中央高校基本科研业务费专项项目(2015XS17)
【CateGory Index】: TP391.41
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【Citations】
Chinese Journal Full-text Database 5 Hits
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【Co-citations】
Chinese Journal Full-text Database 9 Hits
1 ZHAN Qi;LOU Yuan;Donlinks School of Economics and Management ,University of Science and Technology Beijing;;Research on Relationship Between Micro-expression and Consumers' Purchase Decision Based on Dual Attitude Model[J];数学的实践与认识;2017-17
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7 Xu Gang;Zhao Zhongyuan;Tan Yuanpeng;School of Electrical and Electronic Engineering,North China Electric Power University;;MICRO EXPRESSION RECOGNITION BASED ON DIFFERENTIAL POSITIONING AND OPTICAL FLOW FEATURE EXTRACTION[J];计算机应用与软件;2017-01
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