Modelling Distributed Shape Priors by Gibbs Random Fields of Second Order

Details Modelling Distributed Shape Priors by Gibbs Random Fields of Second Order Modelling Distributed Shape Priors by Gibbs Random Fields of Second Order

2011-07-14

arxiv.org/abs/1107.2807v1

Control Systems and Computers, (2) 2011, pp 14-24

Computer Science

Computer Vision and Pattern Recognition

17 pages, 8 figures

Scientific paper

We analyse the potential of Gibbs Random Fields for shape prior modelling. We
show that the expressive power of second order GRFs is already sufficient to
express simple shapes and spatial relations between them simultaneously. This
allows to model and recognise complex shapes as spatial compositions of simpler
parts.

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