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

B. Caputo, S. Bouattour, D. Paulus

To appear at Vision, Modelling and Visualization (VMV01), Stuttgart, Germany, November 21 - 23, 2001


Abstract

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%.


Server START Conference Manager
Update Time 19 Jul 2001 at 16:31:10
Maintainer vmv01@informatik.uni-stuttgart.de.
Start Conference Manager
Conference Systems