ANALYZING THE IMPORTANCE OF DIFFERENT FACIAL FEATURE POINTS IN NON-IDENTICAL FACIAL RECOGNITION(International Workshop on Advanced Image Technology 2006)
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概要
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There is wide application defined for face recognition in computer vision domain. However it is usually referring to identical face recognition to identify the exact person with that face. But there is another facial recognition or actually facial perception task which is being done by people during their daily interactions. It can be named as non-identical facial recognition which tries to process other personal characteristics like gender or age that can affect the method or context of the interaction. In this paper it is tried to analyze the importance of different facial feature points in this kind of process when there is no special target for facial comparison. For this purpose a dataset of facial images with different personal characteristics were manually marked. Then several measurements have been extracted automatically based on these landmarks. Consequently significance of the discrimination and importance analysis of these features was done by a covariance based method. The statistical results of this analysis can be used in designing more sophisticated human computer interactions relying on understanding some personal characteristics of the person on the opposite side.
- 一般社団法人電子情報通信学会の論文
- 2006-01-02
著者
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Akbari Mohammad
Graduate School Of Information Science And Engineering Tokyo Institute Of Technology
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Nakajima Masayuki
Graduate School Of Information And Engineering Tokyo Institute Of Technology
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Takahashi Hiroki
Graduate School Of Human And Environmental Studies Kyoto University
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Takahashi Hiroki
Graduate School Of Information Science And Engineering Tokyo Institute Of Technology
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Takahashi Hiroki
Graduate School of Biomedical Engineering, Tohoku University, Sendai 980-8579, Japan
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