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%.

• Type: Conference
• Year: 2001
• Where: VMV
• Authors: Barbara Caputo, Sahla Bouattour, Dietrich Paulus
• Keywords: Function Assumes Full-connectivity, Receptive Field Histograms, Statistical Physics, VMV 2001, VMV 2008