• DocumentCode
    2838652
  • Title

    Collision Detection Algorithm in 3D Gravity & Magnetic Interactive Interpretation Platform

  • Author

    Xiao Dunhui ; Hu Guangdao ; Yu Bingfei

  • Author_Institution
    State Key Lab. of Geo-Processes & Miner. Resources, China Univ. of Geosci., Wuhan, China
  • fYear
    2009
  • fDate
    11-13 Dec. 2009
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    It is necessary to embeded the collision detection algorithm into 3D gravity & magnetic interactive interpretation platform because overlap of the geological bodies lead to repeated forward computation which will result in wrong interpretation of the data. In this paper, we applied the collision detection algorithm into the field of geology exploration initially to solve the problem of 3D geological shapes´ overlap. We presented a new algorithm GSCDA (group selection collision detection algorithm) which can minimize the number of geogical bodies that to be computed and satisfy the requirement of real-time. Then, intersection algorithm for regular and arbitrary complex geological models are described. GSCDA is realized in my 3D gravity & magnetic interpretation system using VC++ and OpenGL. The algorithm also have referenced meaning to geological bodies´ intersection in 3D geological modeling field.
  • Keywords
    data visualisation; geology; man-machine systems; software tools; 3D geological shape; 3D gravity; GSCDA; OpenGL; VC++; geological modeling field; geology exploration; group selection collision detection algorithm; magnetic interactive interpretation platform; man-machine interaction; visualization technology; Clustering algorithms; Detection algorithms; Geology; Geoscience and remote sensing; Gravity; Laboratories; Layout; Mineral resources; Testing; Visualization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence and Software Engineering, 2009. CiSE 2009. International Conference on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-1-4244-4507-3
  • Electronic_ISBN
    978-1-4244-4507-3
  • Type

    conf

  • DOI
    10.1109/CISE.2009.5364615
  • Filename
    5364615