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ICCV
2001
IEEE

Stochastic Processes in Vision: From Langevin to Beltrami

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Stochastic Processes in Vision: From Langevin to Beltrami
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.
Nir A. Sochen
Added 15 Oct 2009
Updated 15 Oct 2009
Type Conference
Year 2001
Where ICCV
Authors Nir A. Sochen
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