Graph-Based Multi-resolution Temporal-Based Face Reconstruction

  • Charlotte Ghys
  • Nikos Paragios
  • Bénédicte Bascle
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4291)


Reproducing high quality facial expressions is an important challenge in human-computer interaction. Laser-scanners offer an expensive solution to such a problem with image based alternatives being a low-resolution alternative. In this paper, we propose a new method for stereo reconstruction from multiple video pairs that is capable of producing high resolution facial models. To this end, a combinatorial optimization approach is considered and is coupled in time to produce high resolution depth maps. Such optimization is addressed with the use of graph-cuts leading to precise reconstruction of facial expressions that can then be used for animation.


Optical Flow Stereo Match Stereo Pair Super Resolution Epipolar Line 
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 2006

Authors and Affiliations

  • Charlotte Ghys
    • 1
    • 2
  • Nikos Paragios
    • 1
  • Bénédicte Bascle
    • 2
  1. 1.MAS – Ecole Centrale ParisChatenay-MalabryFrance
  2. 2.Orange – France Telecom R&DLannionFrance

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