Coding, Analysis, Interpretation, and Recognition of Facial Expressions
IEEE Transactions on Pattern Analysis and Machine Intelligence
A Bayesian approach to recognise facial expressions using vector flows
CompSysTech '09 Proceedings of the International Conference on Computer Systems and Technologies and Workshop for PhD Students in Computing
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Facial expressions can be coded manually using FACS, which is based on local visual movements of the face, called Action Units, caused by contraction/dilatation of facial muscles. Automatic coding tools based on AU's are still under development. In this paper, we present a tool to generate facial expressions. The GUI of that tool has moving sliders corresponding to the activation of AU's. All generated facial expressions can be coded by the position of the sliders and as a consequence the percentage of activation of AU's. We coded 21 well-known emotional facial expressions. The contribution of this paper consists of investigating whether the Euclidean distance measure in the AU-coded space can be used as a semantic distance measure.