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This paper presents the methodology and performance of a statistical shape representation for automatic facial expression analysis in 3-D. The core of the method uses the statistical shape modelling technique with the deformable model-based surface matching process, which is capable of simulation and interpretation of 3-D human facial expressions. Using the proposed method, a 3-D face is represented by a low-dimensional shape space vector conveying information about face shape. Since the method relies only on the 3-D shape, it is inherently invariant to changes in the background, illumination, and viewing angle, which are the difficulties often suffered in 2-D facial expression analysis.
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