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From regular images to animated heads: A least squares approach

Part of the Lecture Notes in Computer Science book series (LNCS,volume 1406)

Abstract

We show that we can effectively fit arbitrarily complex animation models to noisy image data. Our approach is based on leastsquares adjustment using of a set of progressively finer control triangulations and takes advantage of three complementary sources of information: stereo data, silhouette edges and 2-D feature points.

In this way, complete head models—including ears and hair—can be acquired with a cheap and entirely passive sensor, such as an ordinary video camera. They can then be fed to existing animation software to produce synthetic sequences.

Keywords

  • Feature Point
  • Stereo Pair
  • Facial Animation
  • Surface Triangulation
  • Control Mesh

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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© 1998 Springer-Verlag Berlin Heidelberg

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Fua, P., Miccio, C. (1998). From regular images to animated heads: A least squares approach. In: Burkhardt, H., Neumann, B. (eds) Computer Vision — ECCV'98. ECCV 1998. Lecture Notes in Computer Science, vol 1406. Springer, Berlin, Heidelberg. https://doi.org/10.1007/BFb0055667

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  • DOI: https://doi.org/10.1007/BFb0055667

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-64569-6

  • Online ISBN: 978-3-540-69354-3

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