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.
|Title of host publication
|Biologically Motivated Computer Vision - 2nd International Workshop, BMCV 2002, Proceedings
|Heinrich H. Bulthoff, Christian Wallraven, Seong-Whan Lee, Tomaso A. Poggio
|Number of pages
|Published - 2002
|2nd International Workshop on Biologically Motivated Computer Vision, BMCV 2002 - Tubingen, Germany
Duration: 2002 Nov 22 → 2002 Nov 24
|Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
|2nd International Workshop on Biologically Motivated Computer Vision, BMCV 2002
|02/11/22 → 02/11/24
Bibliographical notePublisher Copyright:
© Springer-Verlag Berlin Heidelberg 2002.
ASJC Scopus subject areas
- Theoretical Computer Science
- General Computer Science