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Using Dirichlet Free Form Deformation to Fit Deformable Models to Noisy 3-D Data

  • Slobodan Ilic
  • Pascal Fua
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 2351)

Abstract

Free-form deformations (FFD) constitute an important geometric shape modification method that has been extensively investigated for computer animation and geometric modelling. In this work, we show that FFDs are also very effective to fit deformable models to the kind of noisy 3-D data that vision algorithms such as stereo tend to produce.

We advocate the use of Dirichlet Free Form Deformation (DFFD) instead of more conventional FFDs because they give us the ability to place control points at arbitrary locations rather than on a regular lattice, and thus much greater flexibility. We tested our approach on stereo data acquired from monocular video-sequences and show that it can be successfully used to reconstruct a complex object such as the whole head, including the neck and the ears, as opposed to the face only.

Keywords

Control Point Computer Animation Natural Neighbor Gradient Vector Flow Surface Triangulation 
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 2002

Authors and Affiliations

  • Slobodan Ilic
    • 1
  • Pascal Fua
    • 1
  1. 1.EPFLComputer Graphics Laboratory(LIG)LausanneSwitzerland

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