Facial expression recognition based on selective feature extraction and rule matching

• Autorzy: Zhou G. , Zhan Y. , Zhang J.
• Języki publikacji: EN

Abstrakty

EN

As one of the key techniques for futuristic human computer interaction, facial expression recognition has received much attention in recent years. A method of facial expression recognition based on selective feature extraction and rule matching is presented in this paper. In this method we classify expressions roughly into three kinds according to the deformation of mouth firstly. Then we select some expression features which contribute much to each kind expression according to the rough classification results and extract features for them. Lastly we classify expressions finely using method based on rule matching. Experiments show that facial expression recognition based on selective feature extraction and rule matching can get high recognition rate and has strong robustness.

Słowa kluczowe

EN

pattern recognition; selective feature extraction; rule matching; active appearance model

PL

rozpoznawanie obrazów

• Wydawca: Instytut Telekomunikacji i Informatyki Uniwersytetu Technologiczno-Przyrodniczego w Bydgoszczy
• Czasopismo: Image Processing & Communications
• Rocznik: 2006
• Tom: Vol. 11, no 2
• Strony: 7--15
• Opis fizyczny: Bibliogr. 9 poz., rys., wykr.

Twórcy

autor

Zhou G.

autor

Zhan Y.

autor

Zhang J.

• School of Computer Science and Communications Engineering, JiangSu University, Zhenjiang Jiangsu Province, 212013, China,

Bibliografia

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