• DocumentCode
    532532
  • Title

    The research about modeling technology of irregular virtual reality scene based on point cloud data

  • Author

    Fanqiang ; Xu, Xiaoxia ; Cui, Libo

  • Author_Institution
    Sch. of Geomatics, Liaoning Tech. Univ., Fuxin, China
  • Volume
    6
  • fYear
    2010
  • fDate
    22-24 Oct. 2010
  • Abstract
    Virtual reality takes full advantage of computer technology, multi-media technology, multi-sensors technology, network technology and so on to set up a senior computer interface between human and computer whose characters are immersion, interaction and conception. Virtual reality is a composition of various technologies, among which is an environment modelling technology,that is the establish of virtual environment, who is the most critical part of the effect reality of virtual reality. In the regular scene of virtual reality. We capture three-dimensional data to form model easily through traditional surveying methods, but as for irregular scene, traditional surveying methods appear not enough. We utilize 3D laser scanning technology to capture the surface sample points of real scene,that are point cloud data, in which way we can restructure any complex scene non-contactedly, quickly and high-accurately to solve the problem of irregular scene effectively.
  • Keywords
    multimedia computing; optical scanners; user interfaces; virtual reality; 3D laser scanning technology; computer technology; human computer interface; irregular virtual reality scene; modeling technology; multimedia technology; multisensors technology; network technology; point cloud data; surveying methods; Adaptation model; Educational institutions; Graphics; Lasers; Three dimensional displays; 3D laser scanning technology; irregular scene; point cloud data; virtual reality;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Application and System Modeling (ICCASM), 2010 International Conference on
  • Conference_Location
    Taiyuan
  • Print_ISBN
    978-1-4244-7235-2
  • Electronic_ISBN
    978-1-4244-7237-6
  • Type

    conf

  • DOI
    10.1109/ICCASM.2010.5620694
  • Filename
    5620694