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A Bayesian Approach for 3D Models Retrieval Based on Characteristic Views

Tarik Filali Ansary 1, 2 Jean-Philippe Vandeborre 1, 2, * Mohamed Daoudi 1, 2
* Corresponding author
1 LIFL - FOX MIIRE
LIFL - Laboratoire d'Informatique Fondamentale de Lille
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.
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Submitted on : Monday, August 27, 2012 - 3:16:05 PM
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Tarik Filali Ansary, Jean-Philippe Vandeborre, Mohamed Daoudi. A Bayesian Approach for 3D Models Retrieval Based on Characteristic Views. 17th IEEE International Conference on Pattern Recognition (ICPR 2004), Aug 2004, Cambridge, United Kingdom. ⟨hal-00725641⟩

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