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Title: | Constrained anisotropic diffusion and some applications |
Authors: | Facciolo, Gabriele Lecumberry, Federico Almansa, Andrés Pardo, Alvaro Caselles, Vicent Rougé, Bernard |
Type: | Preprint |
Issue Date: | 2006 |
Abstract: | Minimal surface regularization has been used in several app lications ranging from stereo to image segmentation, sometimes hidden as a gra ph-cut discrete formulation, or as a strictly convex approximation to TV minimization. In this paper we consider a modified version of minimal surfac e regularization coupled with a robust data fitting term for interpolatio n purposes, where the corresponding evolution equation is constrained to dif fuse 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 appr oach, we apply this framework to the digital elevation model interpolatio n and to constrained vector probability diffusion |
Description: | Trabajo presentado en la British Machine Vision Conference, BMVC, 2006 |
Citation: | Facciolo, G. Lecumberry, F. Almansa, A. Pardo, A. Caselles, V. Rougé, B. Constrained anisotropic diffusion and some applications [Preprint] Publicado en Proceedings of the British Machine Vision Conference, Edinburgh, UK, 2006. doi 10.5244/C.20.1 |
License: | Licencia Creative Commons Atribución - No Comercial - Sin Derivadas (CC - By-NC-ND 4.0) |
Appears in Collections: | Publicaciones académicas y científicas - Instituto de Ingeniería Eléctrica |
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bmvc2006-cad.pdf | 327,66 kB | Adobe PDF | View/Open |
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