Facial expression modelling from still images using a single generic 3d head model

Authors:
Michael Hähnel;Andreas Wiratanaya;Karl-Friedrich Kraiss
Affiliations:
Institute of Man-Machine-Interaction, RWTH Aachen University, Germany;Institute of Man-Machine-Interaction, RWTH Aachen University, Germany;Institute of Man-Machine-Interaction, RWTH Aachen University, Germany
Venue:
DAGM'06 Proceedings of the 28th conference on Pattern Recognition
Year:
2006

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Abstract

We propose two approaches to facial expression modelling from single still images using a generic 3D head model without the need of large image databases (like e.g. Active Appearance Models). The first approach estimates the parameters of linear muscle models to obtain a biologically inspired model of the facial expression which may be changed intuitively afterwards. The second approach uses RBF-based interpolation to deform the head model according to the given expression. As a preprocessing stage for face recognition, this approach could achieve significantly higher recognition rates than in the un-normalized case based on the Eigenface approach, local binary patterns and a grey-scale correlation measure.