• 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