Automatic Synthesis of Sequences of Human Movements by Linear Combination of Learned Example Patterns

Authors:
Martin A. Giese;Barbara Knappmeyer;Heinrich H. Bülthoff
Affiliations:
-;-;-
Venue:
BMCV '02 Proceedings of the Second International Workshop on Biologically Motivated Computer Vision
Year:
2002

Citing 11
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Abstract

We present a method for the synthesis of sequences of realistically looking human movements from learned example patterns. We apply this technique for the synthesis of dynamic facial expressions. Sequences of facial movements are decomposed into individual movement elements which are modeled by linear combinations of learned examples. The weights of the linear combinations define an abstract pattern space that permits a simple modification and parameterization of the style of the individual movement elements. The elements are defined in a way that is suitable for a simple automatic resynthesis of longer sequences from movement elements with different styles. We demonstrate the efficiency of this technique for the animation of a 3D head model and discuss how it can be used to generate spatio-temporally exaggerated sequences of facial expressions for psychophysical experiments on caricature effects.