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2000
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Vector Probability Diffusion

10 years 5 months ago
Vector Probability Diffusion
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.
Alvaro Pardo, Guillermo Sapiro
Added 31 Jul 2010
Updated 31 Jul 2010
Type Conference
Year 2000
Where ICIP
Authors Alvaro Pardo, Guillermo Sapiro
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