Investigating the dynamics of facial expression

Authors:
Jane Reilly;John Ghent;John McDonald
Affiliations:
National University of Ireland, Maynooth;National University of Ireland, Maynooth;National University of Ireland, Maynooth
Venue:
ISVC'06 Proceedings of the Second international conference on Advances in Visual Computing - Volume Part II
Year:
2006

Citing 12
Cited 1

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Abstract

This paper is concerned with capturing the dynamics of facial expression. The dynamics of facial expression can be described as the intensity and timing of a facial expression and its formation. To achieve this we developed a technique that can accurately classify and differentiate between subtle and similar expressions, involving the lower face. This is achieved by using Local Linear Embedding (LLE) to reduce the dimensionality of the dataset and applying Support Vector Machines (SVMs) to classify expressions. We then extended this technique to estimate the dynamics of facial expression formation in terms of intensity and timing.