Real Time Facial Expression Recognition System with Applications to Facial Animation in MPEG-4 (Special Issue on Image Recognition and Understanding)

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概要

• 論文の詳細を見る

• This paper discusses recognition up to intensities of mix of primary facial expressions in real time. The proposed recognition method is compatible with the MPEG-4 high level expression Facial Animation Parameter (FAP). In our method, the whole facial image is considered as a single pattern without any block segmentation. As model features, an expression vector, viz. low global frequency coefficient (DCT) changes relative to neutral facial image of a person is used. These features are robust and good enough to deal with real time processing. To construct a person specific model, apex images of primary facial expression categories are utilized as references. Personal facial expression space (PFES) is constructed by using multidimensional scaling. PFES with its generalization capability maps an unknown input image relative to known reference images. As PFES possesses linear mapping characteristics, MPEG-4 high level expression FAP can be easily calculated by the location of the input face on PFES. Also, temporal variations of facial expressions can be seen on PFES as trajectories. Experimental results are shown to demonstrate the effectiveness of the proposed method.

• 社団法人電子情報通信学会の論文
• 2001-08-01

著者

• HARASHIMA Hiroshi

  Department of Physics,Division of Material Science,Nagoya University

• NAEMURA Takeshi

  Department of Information and Communication Engineering, School of Engineering, The University of To

• Naemura Takeshi

  Department Of Computer Science Stanford University

• Harashima Hiroshi

  Department Of Information And Communication Engineering The University Of Tokyo

• Harashima Hiroshi

  Department Of Information And Communication Engineering School Of Engineering The University Of Toky

• Chandrasiri Naiwala

  Department Of Information And Communication Engineering The University Of Tokyo

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• Real Time Facial Expression Recognition System with Applications to Facial Animation in MPEG-4 (Special Issue on Image Recognition and Understanding)

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