We introduce a class of random fields that can be understood as discrete versions of multi-colour polygonal fields built on regular linear tessellations. We focus first on consistent polygonal fields, for which we show consistency, Markovianity, and solvability by means of a dynamic representation. This representation also forms the basis for new sampling techniques for Gibbsian modifications of such fields, a class which covers lattice based random fields.
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Cornell University Library
arXiv.org e-Print archive
Segmentation and motion analysis using polygonal Markov Fields
Stochastics

van Lieshout, M.-C. (2012). Multi-colour random fields with polygonal realisations. arXiv.org e-Print archive. Cornell University Library .