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2001

A Novel Probabilistic Model for 3D Object Recognition: Spin-Glass Markov Random Fields

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A Novel Probabilistic Model for 3D Object Recognition: Spin-Glass Markov Random Fields
This contribution presents a new class of MRF, that is inspired by methods of statistical physics. The new energy function assumes full-connectivity in the neighborhood system and thus solves the modeling problems of MRF in the case of irregular sites. Moreover, it is defined independently from the considered application; this makes it possible to avoid the use of a search algorithm for the energy minima, since those and their analytical properties are provided by theory. Experiments were performed on a database of 12 Objects using multidimensional receptive field histograms. We achieved a recognition rate of 98.33%.
Barbara Caputo, Sahla Bouattour, Dietrich Paulus
Added 31 Oct 2010
Updated 31 Oct 2010
Type Conference
Year 2001
Where VMV
Authors Barbara Caputo, Sahla Bouattour, Dietrich Paulus
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