Dense Matching of Multiple Wide-baseline Views

  • Authors:
  • Christoph Strecha;Tinne Tuytelaars;Luc Van Gool

  • Affiliations:
  • -;-;-

  • Venue:
  • ICCV '03 Proceedings of the Ninth IEEE International Conference on Computer Vision - Volume 2
  • Year:
  • 2003

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Abstract

This paper describes a PDE-based method for densedepth extraction from multiple wide-baseline images. Emphasislies on the usage of only a small amount of images.The integration of these multiple wide-baseline views isguided by the relative confidence that the system has in thematching to different views. This weighting is fine-grainedin that it is determined for every pixel at every iteration.Reliable information spreads fast at the expense of less reliabledata, both in terms of spatial communications withina view and in terms of information exchange between theviews. Changes in intensity between images can be handledin a similar fine grained fashion.