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Markov random fields for textures recognition with local invariant regions and their geometric relationships
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.
Cited literature [16 references]
https://hal.inria.fr/inria-00548520
Contributor : Thoth Team <>
Submitted on : Monday, December 20, 2010 - 9:08:58 AM
Last modification on : Monday, December 28, 2020 - 3:44:02 PM
Long-term archiving on: : Monday, March 21, 2011 - 3:08:28 AM
Contributor : Thoth Team <>
Submitted on : Monday, December 20, 2010 - 9:08:58 AM
Last modification on : Monday, December 28, 2020 - 3:44:02 PM
Long-term archiving on: : Monday, March 21, 2011 - 3:08:28 AM
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BFS05a.pdf
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