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1 24 SURF Recognition of Facial Expression Based on SURF

2 SURF,,., 55%,.,., SURF(Speeded Up Robust Features), 4 (,,, ), SURF.,, 84%, 96%, 28%, 32%.,,,. SURF, i

3 Abstract Recognition of Facial Expression Based on SURF Takayuki Yoshimoto An expression plays a very big part in the human communication. It is said that the expression occupies about 55% of the whole dialog. And the expression is an element indispensable in order to perform a smooth dialog. If a computer becomes able to guess feelings from an expression, realization of high human interface understanding a human thought. Therefore, using SURF, I performed the recognition of facial expression experiment of 4 expressions (deadpan, smile, surprise, anger) and SURF characteristic quantity was effective for recognition of facial expression or, in this study, examined it. The result of deadpans 84%, smile 96%, surprise 28% and anger 32% have been obtained. Because it became a high recognition result about a deadpan, the smile, it is found that this technique is effective recognition to facial expression. key words SURF, Recognition of Facial Expression ii

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27 [1],,,2004. [2], ) [3], Vol.85 No.10, pp (2002). [4], Vol.85 No.12, pp (2002). [5], Vol.86 No.1, pp (2003). [6], org/project/face/ipa/ [7] PC FaceTool, project/face/heikintool/ [8],, 21,

20 Method for Recognizing Expression Considering Fuzzy Based on Optical Flow

20 Method for Recognizing Expression Considering Fuzzy Based on Optical Flow 20 Method for Recognizing Expression Considering Fuzzy Based on Optical Flow 1115084 2009 3 5 3.,,,.., HCI(Human Computer Interaction),.,,.,,.,.,,..,. i Abstract Method for Recognizing Expression Considering

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