A Real-Time Facial Expression Recognition using the STAAM

Author

Sung, Jaewon ; Lee, Sangjae ; Kim, Daijin

Author_Institution

Intelligent Multimedia Lab., Pohang Univ. of Sci. & Technol.

Volume

1

fYear

0

fDate

0-0 0

Firstpage

275

Lastpage

278

Abstract

This paper proposes a real-time person independent facial expression recognition in two folds. One is using the stereo active appearance model (STAAM) fitting algorithm that uses a geometric relationship between two tightly coupled views to increases the accuracy and speed of fitting. Also, a layered generalized discriminant analysis (GDA) classifier combines 3D shape and appearance to improve the recognition performance of person independent facial expressions. Experimental results show that the STAAM have a better fitting stability than the multi-view AAM (MVAAM), and the combination of the shape and appearance features using a layered GDA classifier improves the recognition performance official expressions greatly

Keywords

face recognition; feature extraction; gesture recognition; image classification; stereo image processing; 3D shape; appearance features; generalized discriminant analysis classifier; geometric relationship; person independent facial expressions; real-time facial expression recognition; stereo active appearance model fitting algorithm; Active appearance model; Cameras; Data mining; Face recognition; Head; Intelligent robots; Real time systems; Shape; Solid modeling; Stereo vision;

fLanguage

English

Publisher

ieee

Conference_Titel

Pattern Recognition, 2006. ICPR 2006. 18th International Conference on

Conference_Location

Hong Kong

ISSN

1051-4651

Print_ISBN

0-7695-2521-0

Type

conf

DOI

10.1109/ICPR.2006.158

Filename

1698886