• DocumentCode
    1584271
  • Title

    Research on new view planning method for automatic reconstruction of unknown 3D objects

  • Author

    Zhou, Xiaolong ; He, Bingwei ; Li, Y.F.

  • Author_Institution
    Sch. of Mech. Eng. & Autom., Fuzhou Univ., Fuzhou, China
  • fYear
    2009
  • Firstpage
    965
  • Lastpage
    970
  • Abstract
    Automatic reconstruction of unknown 3-D objects is a main part of the machine vision technology and it has a variety of applications such as robot navigation, medical imaging and industrial inspection, etc. In this paper, a new view planning method for reconstructing unknown 3-D models automatically was proposed based on the limit visual surface. Firstly, the visual region of the laser-vision system was obtained. And the limit visual surface was modeled by means of the known boundary data obtained from initial view and was used to predict the unknown object surface information. Then the next viewpoint visibility was determined according to the visual region of the system and the visible area of next viewpoint was obtained. Finally, the position which can obtain the maximum visible area was selected as the next best view position. The experimental results of the real models showed that the method is effective in practical implementation.
  • Keywords
    computer vision; image reconstruction; solid modelling; 3D objects; automatic reconstruction; industrial inspection; laser vision system; machine vision technology; medical imaging; object surface information; planning method; robot navigation; Biomedical imaging; Image reconstruction; Inspection; Machine vision; Medical robotics; Navigation; Robot vision systems; Robotics and automation; Service robots; Surface reconstruction;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Robotics and Biomimetics (ROBIO), 2009 IEEE International Conference on
  • Conference_Location
    Guilin
  • Print_ISBN
    978-1-4244-4774-9
  • Electronic_ISBN
    978-1-4244-4775-6
  • Type

    conf

  • DOI
    10.1109/ROBIO.2009.5420729
  • Filename
    5420729