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Markov random fields for textures recognition with local invariant regions and their geometric relationships

Juliette Blanchet 1, 2 Florence Forbes 2 Cordelia Schmid 1, *
* Corresponding author
1 LEAR - Learning and recognition in vision
GRAVIR - IMAG - Laboratoire d'informatique GRAphique, VIsion et Robotique de Grenoble, Inria Grenoble - Rhône-Alpes, CNRS - Centre National de la Recherche Scientifique : FR71
Abstract : This paper describes a new probabilistic framework for recognizing textures in images. Images are described by local affine-invariant descriptors and their spatial relationships. We introduce a statistical parametric models of the dependence between descriptors. We use Hidden Markov Models (HMM) and estimate the parameters with a recent technique based on the mean field principle. Preliminary results for texture recognition are promising and outperform existing techniques.
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Juliette Blanchet, Florence Forbes, Cordelia Schmid. Markov random fields for textures recognition with local invariant regions and their geometric relationships. British Machine Vision Conference (BMVC '05), Sep 2005, Oxford, United Kingdom. ⟨inria-00548520⟩

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