Globally optimal spatio-temporal reconstruction from cluttered videos

  • Authors:
  • Ehsan Aganj;Jean-Philippe Pons;Renaud Keriven

  • Affiliations:
  • IMAGINE, École des Ponts ParisTech, Marne-la-Vallée, France;CSTB, Sophia-Antipolis, Cedex, France;IMAGINE, École des Ponts ParisTech, Marne-la-Vallée, France

  • Venue:
  • ACCV'09 Proceedings of the 9th Asian conference on Computer Vision - Volume Part III
  • Year:
  • 2009

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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.