• DocumentCode
    514790
  • Title

    3D Reconstruction for Robot Navigation Based on Projection of Virtual Height Line and its Performance Evaluation

  • Author

    Chen, Huahua ; Jiang, Yifei ; Zhang, Jianwu

  • Author_Institution
    Coll. of Commun. Eng., Hangzhou Dianzi Univ., Hangzhou, China
  • Volume
    1
  • fYear
    2010
  • fDate
    13-14 March 2010
  • Firstpage
    3
  • Lastpage
    6
  • Abstract
    3D reconstruction is a challenging work for the autonomous navigation of robots. This paper proposes a novel 3D reconstruction method based on projection of virtual height line (PVHL). At first partition the scene scope uniformly into grids with a certain size. Then introduce virtual height lines (VHLs) which do not exist in the scene. Each VHL is projected on left image and right image, and two projection lines are generated. Each projection line has a point of intersection with the scene, which is the only existent and visible point on the projection line. So this point has the maximum similarity metric, and the height of the point is that of the corresponding scene. Finding the height of the scene is converted to prove whether the point of intersection has the maximum similarity metric or not. The experiments to reconstruct 3D scene are performed and the results show the proposed method is feasible and effective.
  • Keywords
    path planning; performance evaluation; robot vision; 3D reconstruction; PVHL; maximum similarity metric; performance evaluation; projection of virtual height line; robot navigation; robots autonomous navigation; virtual height line; Image reconstruction; Laser radar; Layout; Navigation; Reconstruction algorithms; Robot kinematics; Robot vision systems; Robotics and automation; Stereo image processing; Stereo vision; 3D reconstruction; PVHL; autonomous navigation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Measuring Technology and Mechatronics Automation (ICMTMA), 2010 International Conference on
  • Conference_Location
    Changsha City
  • Print_ISBN
    978-1-4244-5001-5
  • Electronic_ISBN
    978-1-4244-5739-7
  • Type

    conf

  • DOI
    10.1109/ICMTMA.2010.65
  • Filename
    5459056