Dynamic image analysis using Bayesian shape and texture models
Dwayne Phillips, A. F. M. Smith · Journal of Applied Statistics · 1993
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.