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 language | English |
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| Pages | 288-293 |
| Number of pages | 6 |
| State | Published - 2001 |
| Event | 8th International Conference on Computer Vision - Vancouver, BC, United States Duration: 9 Jul 2001 → 12 Jul 2001 |
Conference
| Conference | 8th International Conference on Computer Vision |
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| Country/Territory | United States |
| City | Vancouver, BC |
| Period | 9/07/01 → 12/07/01 |