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Visual Modeling for Multimedia Content

  • Demetri Terzopoulos
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 1554)

Abstract

This paper reviews research that addresses the challenging problem of modeling living systems for multimedia content creation. First, I discuss the modeling of animals in their natural habitats for use in animated virtual worlds. The basic approach is to implement realistic artificial animals (in particular, fish) and to give them the ability to locomote, perceive, and in some sense understand the realistic virtual worlds in which they are situated so that they may achieve both individual and social functionality within these worlds. Second, I discuss the modeling of human faces. The goal is to develop facial models that are capable of synthesizing realistic expressions. At different levels of abstraction, these hierarchical models capture knowledge from psychology, facial anatomy and tissue histology, and continuum biomechanics. The facial models can be “personalized”, or made to conform closely to individuals, once facial geometry and photometry information has been captured by a range sensor.

Keywords

Facial Expression Facial Image Virtual World Multimedia Content Visual Modeling 
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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References

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Copyright information

© Springer-Verlag Berlin Heidelberg 1999

Authors and Affiliations

  • Demetri Terzopoulos
    • 1
  1. 1.Department of Computer ScienceUniversity of TorontoTorontoCanada

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