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Searching for Facial Expression by Genetic Algorithm

  • Heedong Ko
  • Jeong-Hwan Kim
  • Jaihie Kim
Part of the Eurographics book series (EUROGRAPH)

Abstract

FACS (Facial Action Coding System) was proposed by the psychologists, Paul Ekman and Wallace V. Friesen, to describe a facial expression in terms of 46 muscular movements, called AUs (Action Units). Here, a mesh model of a human face is defined and each action unit deforms the mesh model according to the corresponding movements specified in the FACS system. The mesh model is deformed to create a facial expression by activating several action units with their intensity values. In this paper, we propose a method using GA (Genetic Algorithm), known widely as a function optimizer, to extract the components of an arbitrary facial expression automatically where the expression may be input by a 3D measuring device or a 2D image. By using these components, we can construct more realistic facial expressions tailored to individual characteristics.

Keywords

Facial Expression Action Unit Action Writ Facial Action Code System Muscular Movement 
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/Wien 1995

Authors and Affiliations

  • Heedong Ko
    • 1
  • Jeong-Hwan Kim
    • 2
  • Jaihie Kim
    • 2
  1. 1.CAD/CAM LaboratoryKorea Institute of Science and Technology (KIST)South Korea
  2. 2.Department of ElectronicsYonsei UniversitySouth Korea

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