DocumentCode :
419871
Title :
A Bayesian approach for 3D models retrieval based on characteristic views
Author :
Ansary, Tarik Filali ; Vandeborre, Jean-Philippe ; Daoudi, Mohamed
Author_Institution :
ENIC Telecom Lille I, Villeneuve d´´Ascq, France
Volume :
3
fYear :
2004
fDate :
23-26 Aug. 2004
Firstpage :
898
Abstract :
The management of big databases of three-dimensional models (used in CAD applications, visualization, games, etc.) is a very important domain. The ability to characterize and easily retrieve models are a key issues for the designers and the final users. In this frame, two main approaches exist: search by example of a three-dimensional model, and search by a 2D view. In this paper, we focus on the characterization of a 3D model by a set of views (called characteristic views), and on the indexing process of these models with a Bayesian probabilistic approach using the characteristic views. We illustrate our results using a collection of three-dimensional models supplied by Renault group.
Keywords :
Bayes methods; database indexing; image retrieval; probability; search problems; visual databases; 3D model characterization; 3D retrieval model; Bayesian probabilistic method; Renault group; database management; indexing process; search problem; three dimensional models; Bayesian methods; Cascading style sheets; Design automation; Image databases; Indexing; Information retrieval; Shape; Telecommunications; Visual databases; Visualization;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Pattern Recognition, 2004. ICPR 2004. Proceedings of the 17th International Conference on
ISSN :
1051-4651
Print_ISBN :
0-7695-2128-2
Type :
conf
DOI :
10.1109/ICPR.2004.1334673
Filename :
1334673
Link To Document :
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