Comparison Between Two Methods Of Facial Emotion Classification : The Degree Of Characterization And Percentage Of Variation
2016 2ND INTERNATIONAL CONFERENCE ON ADVANCED TECHNOLOGIES FOR SIGNAL AND IMAGE PROCESSING (ATSIP)(2016)
摘要
Facial expressions play a major role in human interaction view that the face reflects the inner emotions of a person This is why the analysis of faces by image processing is still a very active research topic. This paper presents a comparison between two methods of facial emotion classification: evaluation of best distances depending on degree of characterization "J" and evaluation of best distances depending on percentage of variation.
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关键词
Facial recognition,classification,feature points,emotion detection,percentage of variation,degree of characterization
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