• DocumentCode
    3352374
  • Title

    Research on STEP-based 3D model reconstruction and feature recognition

  • Author

    Dai, Baisheng ; Qiao, Jinyou

  • Author_Institution
    Dept. of Manage. Sci. & Eng., Northeast Agric. Univ., Harbin, China
  • fYear
    2010
  • fDate
    26-28 June 2010
  • Firstpage
    4104
  • Lastpage
    4108
  • Abstract
    This paper used the STEP AP203 files as the input information, an 3D reconstruction module was developed on the basis of Open CASCADE 3D modeling platform by using the Visual C++. The data structure of STEP neutral file was analyzed and the correspondent C++ class of its geometry and topology information was designed. By using the STEP-Based attributed adjacency graph matching technique, features in the STEP model would be recognized. The DNAFRS system with the 3D reconstruction module and feature recognition module was developed.
  • Keywords
    C++ language; computational geometry; data structures; feature extraction; image reconstruction; topology; Open CASCADE 3D modeling; STEP AP203 files; STEP-based 3D model reconstruction; data structure; feature recognition; geometry information; graph matching technique; topology information; visual C++; Agricultural engineering; Assembly; CADCAM; Computer aided manufacturing; Design automation; Electrical equipment industry; ISO standards; Information geometry; Solid modeling; Topology; Open CASCADE; STEP; attributed adjacency graph; feature recognition;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Mechanic Automation and Control Engineering (MACE), 2010 International Conference on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-1-4244-7737-1
  • Type

    conf

  • DOI
    10.1109/MACE.2010.5535817
  • Filename
    5535817