A Real-Time Facial Expression Recognition using the STAAM

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http://doi.ieeecomputersociety.org/10.1109/ICPR.2006.158

18th International Conference on Patt ...

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	Jaewon Sung, Sangjae Lee, Daijin Kim, "A Real-Time Facial Expression Recognition using the STAAM," Pattern Recognition, International Conference on, vol. 1, pp. 275-278, 18th International Conference on Pattern Recognition (ICPR'06) Volume 1, 2006.

	BibTex	x
	@article{ 10.1109/ICPR.2006.158, author = {Jaewon Sung and Sangjae Lee and Daijin Kim}, title = {A Real-Time Facial Expression Recognition using the STAAM}, journal ={Pattern Recognition, International Conference on}, volume = {1}, year = {2006}, issn = {1051-4651}, pages = {275-278}, doi = {http://doi.ieeecomputersociety.org/10.1109/ICPR.2006.158}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, }

	RefWorks Procite/RefMan/Endnote	x
	TY - CONF JO - Pattern Recognition, International Conference on TI - A Real-Time Facial Expression Recognition using the STAAM SN - 1051-4651 SP275 EP278 A1 - Jaewon Sung, A1 - Sangjae Lee, A1 - Daijin Kim, PY - 2006 KW - null VL - 1 JA - Pattern Recognition, International Conference on ER -

Jaewon Sung, Pohang University of Science and Technology, Korea

Sangjae Lee, Pohang University of Science and Technology, Korea

Daijin Kim, Pohang University of Science and Technology, Korea

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 of facial expressions greatly.

Citation:

Jaewon Sung, Sangjae Lee, Daijin Kim, "A Real-Time Facial Expression Recognition using the STAAM," icpr, vol. 1, pp.275-278, 18th International Conference on Pattern Recognition (ICPR'06) Volume 1, 2006

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