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Proceedings Paper

Automatic facial expression recognition based on features extracted from tracking of facial landmarks
Author(s): Deepak Ghimire; Joonwhoan Lee
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Paper 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.

Paper Details

Date Published: 10 January 2014
PDF: 5 pages
Proc. SPIE 9069, Fifth International Conference on Graphic and Image Processing (ICGIP 2013), 90691O (10 January 2014); doi: 10.1117/12.2050090
Show Author Affiliations
Deepak Ghimire, Jeonbuk National Univ. (Korea, Republic of)
Joonwhoan Lee, Jeonbuk National Univ. (Korea, Republic of)


Published in SPIE Proceedings Vol. 9069:
Fifth International Conference on Graphic and Image Processing (ICGIP 2013)
Yulin Wang; Xudong Jiang; Ming Yang; David Zhang; Xie Yi, Editor(s)

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