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A Multiresolutional Approach for Facial Motion Retargetting Using Subdivision Wavelets

  • Kyungha Min
  • Moon-Ryul Jung
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3515)

Abstract

We propose a new facial motion retargetting method using wavelet-based multiresolutional analysis of triangular meshes. We define the displacement of the source model as the difference between the neutral and the current expressions of the source model, and decompose it to the displacement of the base mesh and the “displacements” of the wavelet coefficients. We compute the wavelet coefficients of a mesh by using the wavelet basis functions derived from a mesh subdivision scheme. To get the motion of the target model, we add the displacement of the source model to the target model level by level starting from the base mesh. The wavelet-based representation of mesh facilitates the comparison between two expressions of the same model and the comparison between the expressions of the source and target models.

Keywords

Source Model Target Model Subdivision Scheme Facial Model Facial Motion 
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 2005

Authors and Affiliations

  • Kyungha Min
    • 1
  • Moon-Ryul Jung
    • 1
  1. 1.Dept. of Media Technology, Graduate School of Media CommunicationsSogang Univ.SeoulKorea

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