ETRI Journal

Electronics and Telecommunications Research Institute (한국전자통신연구원)
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Feature Detection and Simplification of 3D Face Data with Facial Expressions

  • Kim, Yong-Guk (Department of Computer Engineering, Sejong Universtiy) ;
  • Kim, Hyeon-Joong (Department of Computer Engineering, Sejong Universtiy) ;
  • Choi, In-Ho (Department of Computer Engineering, Sejong Universtiy) ;
  • Kim, Jin-Seo (Creative Content Research Laboratory, ETRI) ;
  • Choi, Soo-Mi (Department of Computer Engineering, Sejong Universtiy)
  • Received : 2012.03.10
  • Accepted : 2012.04.24
  • Published : 2012.10.31
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Abstract

We propose an efficient framework to realistically render 3D faces with a reduced set of points. First, a robust active appearance model is presented to detect facial features in the projected faces under different illumination conditions. Then, an adaptive simplification of 3D faces is proposed to reduce the number of points, yet preserve the detected facial features. Finally, the point model is rendered directly, without such additional processing as parameterization of skin texture. This fully automatic framework is very effective in rendering massive facial data on mobile devices.

Keywords

References

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