Automatic facial expression recognition based on features extracted from tracking of facial landmarks

Deepak Ghimire; Joonwhoan Lee

doi:10.1117/12.2050090

10 January 2014 Automatic facial expression recognition based on features extracted from tracking of facial landmarks

Deepak Ghimire, Joonwhoan Lee

Proceedings Volume 9069, Fifth International Conference on Graphic and Image Processing (ICGIP 2013); 90691O (2014) https://doi.org/10.1117/12.2050090
Event: Fifth International Conference on Graphic and Image Processing, 2013, Hong Kong, China

Abstract

In this paper, we present a fully automatic facial expression recognition system using support vector machines, with geometric features extracted from the tracking of facial landmarks. Facial landmark initialization and tracking is performed by using an elastic bunch graph matching algorithm. The facial expression recognition is performed based on the features extracted from the tracking of not only individual landmarks, but also pair of landmarks. The recognition accuracy on the Extended Kohn-Kanade (CK+) database shows that our proposed set of features produces better results, because it utilizes time-varying graph information, as well as the motion of individual facial landmarks.

Citation Download Citation

Deepak Ghimire and Joonwhoan Lee "Automatic facial expression recognition based on features extracted from tracking of facial landmarks", Proc. SPIE 9069, Fifth International Conference on Graphic and Image Processing (ICGIP 2013), 90691O (10 January 2014); https://doi.org/10.1117/12.2050090

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