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Globally Optimal Spatio-temporal Reconstruction from Cluttered Videos

  • Ehsan Aganj
  • Jean-Philippe Pons
  • Renaud Keriven
Part of the Lecture Notes in Computer Science book series (LNCS, volume 5996)

Abstract

We propose a method for multi-view reconstruction from videos adapted to dynamic cluttered scenes under uncontrolled imaging conditions. Taking visibility into account and being based on a global optimization of a true spatio-temporal energy, it offers several desirable properties: no need for silhouettes, robustness to noise, independent from any initialization, no heuristic force, reduced flickering results, etc. Results on real-world data proves the potential of what is, to our knowledge, the only globally optimal spatio-temporal multi-view reconstruction method.

Keywords

Point Cloud Voronoi Diagram Delaunay Triangulation Temporal Plane Normalize Cross Correlation 
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 2010

Authors and Affiliations

  • Ehsan Aganj
    • 1
  • Jean-Philippe Pons
    • 2
  • Renaud Keriven
    • 1
  1. 1.IMAGINEÉcole des Ponts ParisTechMarne-la-ValléeFrance
  2. 2.CSTBSophia-Antipolis, CedexFrance

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