Dynamic image analysis using Bayesian shape and texture models
- 1 January 1993
- journal article
- research article
- Published by Taylor & Francis in Journal of Applied Statistics
- Vol. 20 (5-6) , 299-322
- https://doi.org/10.1080/02664769300000068
Abstract
In this paper, we discuss the implementation of fully Bayesian analysis of dynamic image sequences in the context of stochastic deformable templates for shape modelling, Markov/Gibbs random fields for modelling textures, and dynomation. Throughout, Markov chain Monte Carlo algorithms are used to perform the Bayesian calculations.Keywords
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