Abstract
Facial expressions contain a lot of information about the feelings of a human. They play an important role in human-computer interaction. In this paper, we propose a person independent facial expression recognition algorithm based on 3-Dimensional (3D) geometrical facial feature positions to classify the six basic expressions of the face: Anger, disgust, fear, happiness, sadness and surprise. The algorithm is tested on BU-3DFE database and provides encouraging recognition rates. © 2013 Springer-Verlag London.
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Yurtkan, K., & Demirel, H. (2013). Person independent facial expression recognition using 3D facial feature positions. In Computer and Information Sciences III - 27th International Symposium on Computer and Information Sciences, ISCIS 2012 (pp. 321–329). Kluwer Academic Publishers. https://doi.org/10.1007/978-1-4471-4594-3_33
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