• DocumentCode
    1880087
  • Title

    Fast 3D Modeling Chinese Ancient Architectures Base on Points Cloud

  • Author

    Cai Lailiang ; Wu Kan ; Fang Qian ; Zheng Ruyu

  • Author_Institution
    Sch. of Environ. Sci. & Spatial Inf., China Univ. of Min. & Technol., Xuzhou, China
  • fYear
    2010
  • fDate
    10-12 Dec. 2010
  • Firstpage
    1
  • Lastpage
    3
  • Abstract
    There are lots of valuable ancient architectures in China, digitizing the architectures is very meritorious. 3D laser scanner can help people get 3D information of buildings by means of points cloud. For better displaying the buildings on computer screen, 3D modeling is necessary. In China, most of ancient architectures´ walls, floors and roofs are flat, which can be regard as plane. This paper puts forward an algorithm of plane fitting, calculates out all plane equations of walls, floors and roofs, and researches the relationship of the planes, gets the coordinates of all feature lines and corners, combines them, and finally finishes the 3D model. Also this paper uses Microsoft Direct3D SDK and C# computer language to implement a platform for showing the result on the computer screen, and finally uses examples to verify the validity of the algorithm. In China, for ancient architectures´ special features, the algorithm can fit for most situations.
  • Keywords
    C language; architecture; optical scanners; solid modelling; 3D information; 3D laser scanner; 3D modeling; C# computer language; Chinese ancient architectures; Microsoft Direct3D SDK; buildings; computer screen; points cloud; Clouds; Computer architecture; Computers; Fitting; Mathematical model; Solid modeling; Three dimensional displays;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence and Software Engineering (CiSE), 2010 International Conference on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-1-4244-5391-7
  • Electronic_ISBN
    978-1-4244-5392-4
  • Type

    conf

  • DOI
    10.1109/CISE.2010.5677165
  • Filename
    5677165