Human emotional state recognition using 3D facial expression features: An Advanced Work for Human Affect Computing - Couverture souple

Tie, Yun; Guan, Ling

 
9783845405162: Human emotional state recognition using 3D facial expression features: An Advanced Work for Human Affect Computing
Couverture souple
ISBN 10 : 3845405163 ISBN 13 : 9783845405162
Editeur : LAP LAMBERT Academic Publishing, 2011

Synopsis

In recent years there has been a growing interest in improving all aspects of the interaction between human and computers. Emotion recognition is a new technique based on affective computing that is expected to significantly improve the quality of human-computer interaction system and communications. Most existing works address this problem using 2D features, but they are sensitive to head pose, clutter, and variations in lighting conditions. In light of such problems, two 3D visual feature based approaches are presented, the 3D Gabor feature and the 3D elastic body spline features from video sequences. The most significant contributions of this work are detecting and tracking fiducial points automatically from video sequences to construct a generic 3D face model, and the introduction of EBS deformation features for emotion recognition. These methods open a new research direction for human computer communication with applications to security systems, the intelligent home, a learning environment, and educational software.

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Présentation de l'éditeur

In recent years there has been a growing interest in improving all aspects of the interaction between human and computers. Emotion recognition is a new technique based on affective computing that is expected to significantly improve the quality of human-computer interaction system and communications. Most existing works address this problem using 2D features, but they are sensitive to head pose, clutter, and variations in lighting conditions. In light of such problems, two 3D visual feature based approaches are presented, the 3D Gabor feature and the 3D elastic body spline features from video sequences. The most significant contributions of this work are detecting and tracking fiducial points automatically from video sequences to construct a generic 3D face model, and the introduction of EBS deformation features for emotion recognition. These methods open a new research direction for human computer communication with applications to security systems, the intelligent home, a learning environment, and educational software.

Biographie de l'auteur

He received his B.Sc. Degree from Nanjing University of Science and Technology, China, M.A.Sc Degree of Computer Science in Kwangju Institute of Science and Technology (KJIST), Korea, and Ph.D Degree from Ryerson University, Toronto. Interesting Research areas are multimedia systems design, digital image

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Éditeur
LAP LAMBERT Academic Publishing
Date d'édition
2011
Langue
anglais
ISBN 10 
3845405163
ISBN 13 
9783845405162
Reliure
Broché
Nombre de pages
148
Coordonnées du fabricant
non disponible
Personne responsable
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