Stochastic algorithm for Bayesian mixture effect template estimation
Stéphanie Allassonnière, Estelle Kuhn (2010)
ESAIM: Probability and Statistics
Similarity:
The estimation of probabilistic deformable template models in computer vision or of probabilistic atlases in Computational Anatomy are core issues in both fields. A first coherent statistical framework where the geometrical variability is modelled as a hidden random variable has been given by [S. Allassonnière , (2007) 3–29]. They introduce a Bayesian approach and mixture of them to estimate deformable template models. A consistent stochastic algorithm has been introduced...