Name
Title | ||
|---|---|---|
A Novel Probabilistic Model for 3D Object Recognition: Spin-Glass Markov Random Fields |
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 mod- eling problems of MRF in the case of irregular sites. Moreover, it is defined independently from the con- sidered application; this makes it possible to avoid the use of a search algorithm for the energy min- ima, 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 recogni- tion rate of 98.33%. |
Year | Venue | Keywords |
|---|---|---|
2001 | VMV | object recognition,spin-glass markov random fields,novel probabilistic model,probabilistic model,spin glass,receptive field,search algorithm,statistical physics |
Field | DocType | ISBN |
Computer vision,Histogram,Search algorithm,Random field,Pattern recognition,Computer science,Markov chain,Spin glass,Maxima and minima,Statistical model,Artificial intelligence,Cognitive neuroscience of visual object recognition | Conference | 3-89838-028-9 |
Citations | PageRank | References |
1 | 0.38 | 7 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Barbara Caputo | 1 | 3298 | 201.26 |
| Sahla Bouattour | 2 | 3 | 2.45 |
| Dietrich Paulus | 3 | 377 | 71.34 |