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Facial gesture recognition from static dual-view face images

Maja Pantic

Conference or Workshop Paper
Int'l Conf. Measuring Behaviour 2002
August, 2002
pp.195–197
Abstract

The research presented here pertains to the problem of automatic facial gesture analysis. We present an automatic system that can analyse subtle changes in facial expressions (such as smiles, frowns, and winks) based on both fiducial points of the contours of the permanent facial features (eyes, mouth, etc.) and fiducial points of the face-profile contour in a static dual view (i.e., frontal and profile view) of the face. The system employs a fuzzy-rule-based algorithm to interpret changes in the position of facial fiducial points in terms of 32 AUs (atomic facial gestures) occurring alone or in combination in an input dual-view face image. With each scored AU, the utilised algorithm associates a factor denoting the certainty with which the pertinent AU has been scored.

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