Joint Modeling of Facial Expression and Shape from Video

  • T. Tamminen
  • J. Kätsyri
  • M. Frydrych
  • J. Lampinen
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3540)

Abstract

In this paper, we present a novel model for representing facial feature point tracks during an facial expression. The model is composed of a static shape part and a time-dependent expression part. We learn the model by tracking the points of interest in video recordings of trained actors making different facial expressions. Our results indicate that the proposed sum of two linear models – a person-dependent shape model and a person-independent expression model – approximates the true feature point motion well.

Keywords

Facial Expression Feature Point Video Sequence Joint Modeling Shape Space 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2005

Authors and Affiliations

  • T. Tamminen
    • 1
  • J. Kätsyri
    • 1
  • M. Frydrych
    • 1
  • J. Lampinen
    • 1
  1. 1.Laboratory of Computational EngineeringHelsinki University of TechnologyFinland

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