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

  • Authors:
  • Tarik Filali Ansary;Jean-Philippe Vandeborre;Mohamed Daoudi

  • Affiliations:
  • Equipe MIIRE (INT / LIFL), France;Equipe MIIRE (INT / LIFL), France;Equipe MIIRE (INT / LIFL), France

  • Venue:
  • ICPR '04 Proceedings of the Pattern Recognition, 17th International Conference on (ICPR'04) Volume 3 - Volume 03
  • Year:
  • 2004

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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.