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Decimation of human face model for real-time animation in intelligent multimedia systems

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Abstract

Animating a complex human face model in real-time is not a trivial task in intelligent multimedia systems for next generation environments. This paper proposes a generation scheme of a simplified model for real-time human face animation in intelligent multimedia systems. Previous work mainly focused on the geometric features when generating a simplified human face model. Such methods may lose the critical feature points for animating human faces. The proposed method can find those important feature points and can generate the feature-preserved low-level models busing our new quadrics. The new quadrics consist of basic error metrics and feature edge quadrics. The quality of facial animation with a lower-level model is as good as that of a computationally expansive original model. In this paper, we prove that our decimated facial model is effective in facial animation using a well-known expression-retargeting technique.

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Authors and Affiliations

  1. Department of Game Engineering, Paichai University, Daejeon, South Korea

    Soo-Kyun Kim & Syung-Og An

  2. Division of Computer Science & Engineering, Soonchunhyang University, Asan, South Korea

    Min Hong & Doo-Soon Park

  3. School of Games, Hongik University, Seoul, South Korea

    Shin-Jin Kang

Authors
  1. Soo-Kyun Kim
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  2. Syung-Og An
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  3. Min Hong
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  4. Doo-Soon Park
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  5. Shin-Jin Kang
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Correspondence to Min Hong.

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Kim, SK., An, SO., Hong, M. et al. Decimation of human face model for real-time animation in intelligent multimedia systems. Multimed Tools Appl 47, 147–162 (2010). https://doi.org/10.1007/s11042-009-0411-8

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