Stochastic processes in vision: From langevin to beltrami

N. A. Sochen*

*Corresponding author for this work

Research output: Contribution to conferencePaperpeer-review

Abstract

Diffusion processes which are widely used in low level vision are presented as a result of an underlying stochastic process. The short-time non-linear diffusion is interpreted as a Fokker-Planck equation which governs the evolution in time of a probability distribution for a Brownian motion on a Riemannian surface. The non linearity of the diffusion has a direct relation to the geometry of the surface. A short time kernel to the diffusion as well as generalizations are found.

Original languageEnglish
Pages288-293
Number of pages6
StatePublished - 2001
Event8th International Conference on Computer Vision - Vancouver, BC, United States
Duration: 9 Jul 200112 Jul 2001

Conference

Conference8th International Conference on Computer Vision
Country/TerritoryUnited States
CityVancouver, BC
Period9/07/0112/07/01

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