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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

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