• DocumentCode
    2507366
  • Title

    Using CBIR and semantics in 3D-model retrieval

  • Author

    Pein, Raoul Pascal ; Amador, Milton ; Lu, Joan ; Wolfgang, R.

  • Author_Institution
    Dept. of Inf., Univ. of Huddersfield, Huddersfield
  • fYear
    2008
  • fDate
    8-11 July 2008
  • Firstpage
    173
  • Lastpage
    178
  • Abstract
    This paper proposes a generic design for 3D model retrieval. It has been developed in cooperation with EADS, which deals with Computer Aided Design / Computer Aided Engineering (below CAD/CAE) data through the product life cycle. Sharing these models with users across the enterprise is a challenging task. CAD/CAE models may be hundreds of megabytes large and stored in proprietary formats. Browsing and previewing this data efficiently requires new tools. One way to leverage the collaboration in and outside of CAD domains is to offer through a repository an access to a neutral 3D data format. Also functionalities for semantic enrichment of 3D models, for the retrieval of context sensitive information and for 3D model retrieval based on 3D similarity search and CBIR techniques should be provided.
  • Keywords
    content-based retrieval; image retrieval; solid modelling; 3D-model retrieval; computer aided design; computer aided engineering; content-based image retrieval; Collaboration; Collaborative work; Computer aided engineering; Context modeling; Design automation; Engines; Image retrieval; Informatics; Information retrieval; Technological innovation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer and Information Technology, 2008. CIT 2008. 8th IEEE International Conference on
  • Conference_Location
    Sydney, NSW
  • Print_ISBN
    978-1-4244-2357-6
  • Electronic_ISBN
    978-1-4244-2358-3
  • Type

    conf

  • DOI
    10.1109/CIT.2008.4594669
  • Filename
    4594669