Probabilistic generative modelling

Authors:
Rasmus Larsen;Klaus Baggesen Hilger
Affiliations:
Informatics and Mathematical Modelling, Technical University of Denmark, Kgs. Lyngby, Denmark;Informatics and Mathematical Modelling, Technical University of Denmark, Kgs. Lyngby, Denmark
Venue:
SCIA'03 Proceedings of the 13th Scandinavian conference on Image analysis
Year:
2003

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Abstract

The contribution of this paper is the adaption of data driven methods for decomposition of tangent shape variability proposed in a probabilistic framework. By Bayesian model selection we compare two generative model representations derived by principal components analysis and by maximum autocorrelation factors analysis.