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Automatic 3-D Facial Fitting Technique for a Second Life Avatar

  • Hiroshi Dohi
  • Mitsuru Ishizuka
Part of the Lecture Notes in Computer Science book series (LNCS, volume 6774)

Abstract

This paper describes an automatic 3-D facial fitting technique for a Second Life avatar. It is often difficult to create an original avatar by yourself that resembles a real person. In Second Life, the combinations of system-defined parameters deform the shape of the avatar, and we can’t control each vertex directly. It needs to encode the deformation information into many parameters. As a reference target, we make use of MRI data that scans the real face. It is stable and not affected by lighting and diffused reflection. In our experiments, we picked up 428 vertices on the base model for facial fitting. Using the iteration technique, more than 50% of vertices are just on the reference targets, and more than 85 % are within +/- 3mm of errors.

Keywords

Reference Target Dependency Matrix Visual Parameter Uncanny Valley Morphable Model 
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 2011

Authors and Affiliations

  • Hiroshi Dohi
    • 1
  • Mitsuru Ishizuka
    • 2
  1. 1.Dept. Information and Communication Engineering, Graduate School of Information Science and TechnologyUniversity of TokyoJapan
  2. 2.Dept. Creative Informatics, Graduate School of Information Science and TechnologyUniversity of TokyoTokyoJapan

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