Stochastic geometry models in high-level vision |
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| Authors: | A. J. Baddeley M. N. M. Van Lieshout |
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| Affiliation: | 1. Department of Mathematics and Computer Science , University of Leiden , Centre for Mathematics and Computer Science, Amsterdam;2. Department of Mathematics and Computer Science , Free University of Amsterdam , Amsterdam |
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| Abstract: | We survey the use of Markov models from stochastic geometry as priors in ‘high-level’ computer vision, in direct analogy with the use of discrete Markov random fields in ‘low-level’ vision. There are analogues of the Gibbs sampler, ICM and simulated annealing, and connections with existing methods in computer vision. |
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