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Constrained anisotropic diffusion and some applications

  • Gabriele Facciolo
  • , Federico Lecumberry
  • , Andrés Almansa
  • , Alvaro Pardo
  • , Vicent Caselles
  • , Bernard Rougé
  • Universidad de la República
  • Pompeu Fabra University (UPF)
  • Universidad Católica del Uruguay
  • Centre National d'études Spatiales

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

11 Citations (Scopus)

Abstract

Minimal surface regularization has been used in several applications ranging from stereo to image segmentation, sometimes hidden as a graph-cut discrete formulation, or as a strictly convex approximation to TV minimization. In this paper we consider a modified version of minimal surface regularization coupled with a robust data fitting term for interpolation purposes, where the corresponding evolution equation is constrained to diffuse only along the isophotes of a given image u and we design a convergent numerical scheme to accomplish this. To illustrate the usefulness of our approach, we apply this framework to the digital elevation model interpolation and to constrained vector probability diffusion.

Original languageEnglish
Title of host publicationBMVC 2006 - Proceedings of the British Machine Vision Conference 2006
PublisherBritish Machine Vision Association, BMVA
Pages1049-1058
Number of pages10
ISBN (Print)1904410146, 9781904410140
Publication statusPublished - 1 Jan 2006
Externally publishedYes
Event2006 17th British Machine Vision Conference, BMVC 2006 - Edinburgh, United Kingdom
Duration: 4 Sept 20067 Sept 2006

Publication series

NameBMVC 2006 - Proceedings of the British Machine Vision Conference 2006
Volume3

Conference

Conference2006 17th British Machine Vision Conference, BMVC 2006
Country/TerritoryUnited Kingdom
CityEdinburgh
Period4/09/067/09/06

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