Constrained anisotropic diffusion and some applications
Resumen:
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
| 2006 | |
| Inglés | |
| Universidad de la República | |
| COLIBRI | |
| https://hdl.handle.net/20.500.12008/38710 | |
| Acceso abierto | |
| Licencia Creative Commons Atribución - No Comercial - Sin Derivadas (CC - By-NC-ND 4.0) |
| Sumario: | Trabajo presentado en la British Machine Vision Conference, BMVC, 2006 |
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