• DocumentCode
    2482919
  • Title

    Calibration Method for Line Structured Light Vision Sensor Based on Vanish Points and Lines

  • Author

    Wei, Zhenzhong ; Xie, Meng ; Zhang, Guangjun

  • Author_Institution
    Key Lab. of Precision Opto-Mechatron. Technol., Beihang Univ., Beijing, China
  • fYear
    2010
  • fDate
    23-26 Aug. 2010
  • Firstpage
    794
  • Lastpage
    797
  • Abstract
    Line structured light vision sensor (LSLVS) calibration is to establish the location relationship between the camera and the light plane projector. This paper proposes a geometrical calibration method of LSLVS based on the property of vanish points and lines, by randomly moving the planar target. This method contains two steps, (1) the vanish point of the light stripe projected by the light plane is found in each target image, and all the obtained vanish points form the vanish line of the light plane, which is helpful to determine the normal of the light plane. (2) one 3D feature point on the light plane is acquired (one is enough, surely can be more than one) to determine d parameter of the light plane. Then the equation of the light plane under the camera coordinate system can be solved out. Computer simulations and real experiments have been carried out to validate our method, and the result of the real calibration reaches the accuracy of 0.141mm within the view field of about 300mm×200mm.
  • Keywords
    calibration; geometry; image sensors; camera coordinate system; computer simulations; geometrical calibration method; line structured light vision sensor; vanish points; Accuracy; Calibration; Cameras; Equations; Mathematical model; Pixel; Three dimensional displays; calibration; computer vision; line structured light;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Pattern Recognition (ICPR), 2010 20th International Conference on
  • Conference_Location
    Istanbul
  • ISSN
    1051-4651
  • Print_ISBN
    978-1-4244-7542-1
  • Type

    conf

  • DOI
    10.1109/ICPR.2010.200
  • Filename
    5596048