• DocumentCode
    1598680
  • Title

    Research on the Rigid Body Automatic Merging System Based on Nonparallel Binocular Vision

  • Author

    Fan, Yi ; Fu, Jiwu

  • Author_Institution
    Dept. of Phys., Nanchang Univ., Nanchang, China
  • Volume
    2
  • fYear
    2011
  • Firstpage
    214
  • Lastpage
    217
  • Abstract
    This paper introduced a method of circular rigid body automatic merging based on binocular vision. During each control cycle, two images were captured by left and right cameras respectively, and processed by edge detection, and then the center coordinate of the circular merging surface in each image could be defined through the method of the least square fitting. Lastly the center three-dimensional coordinate was calculated on the basis of binocular vision theory. The paper adopted the nonparallel binocular vision which was more suitable for actual situation. And the edges of the image were detected with accuracy up to sub-pixel order, bringing the center sub-pixel location. Simple projection method was applied to calculate the three-dimensional coordinate of the merging surface center. The experimental results show that the measuring error is 0.332mm, which can satisfy the requirement of rigid body high precision merging.
  • Keywords
    cameras; edge detection; least squares approximations; cameras; circular rigid body automatic merging; edge detection; least square fitting; nonparallel binocular vision; Accuracy; Calibration; Cameras; Coordinate measuring machines; Image edge detection; Merging; Motion measurement; automatic merging; nonparallel binocular vision; sub-pixel; the least square method;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Human-Machine Systems and Cybernetics (IHMSC), 2011 International Conference on
  • Conference_Location
    Zhejiang
  • Print_ISBN
    978-1-4577-0676-9
  • Type

    conf

  • DOI
    10.1109/IHMSC.2011.123
  • Filename
    6038253