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.


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    Title :

    Stochastic processes in vision: from Langevin to Beltrami


    Contributors:


    Publication date :

    2001-01-01


    Size :

    492876 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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