• DocumentCode
    504358
  • Title

    Self-aligning-calibration of a stereo vision system

  • Author

    Lim, Dong-Hwan ; Kuc, Tae-Yong

  • Author_Institution
    Dept. of Electr. & Comput. Eng., SungKyunKwan Univ., Suwon, South Korea
  • fYear
    2009
  • fDate
    18-21 Aug. 2009
  • Firstpage
    5413
  • Lastpage
    5416
  • Abstract
    Stereo vision system can estimate distance to an object by using 3D information extracted from 2D images of the target. However, since the optical axes of two cameras need to be calibrated simultaneously and aligned in line, the precise estimation of distance is not easy. In view of this, this paper proposes SAC (self-aligning-calibration) method which uses internal and external calibrations for alignment of cameras. The method includes optical encoder and switch for internal calibration and a simple T-calibration device for external correction. In the method, the driving motors of camera system are tuned according to the states of marker and camera angles for exact calibration. The proposed calibration method is applied to a stereo vision system and its effectiveness is shown through real experiments on stereo matching and distance measurement of object.
  • Keywords
    calibration; cameras; feature extraction; image matching; stereo image processing; 2D images; 3D information extraction; T-calibration device; camera alignment calibration; distance estimation; object distance measurement; optical encoder; self-aligning-calibration method; stereo matching; stereo vision system; Calibration; Cameras; Data mining; Distance measurement; Intelligent sensors; Kinematics; Mobile robots; Optical sensors; Robot vision systems; Stereo vision; Active Sensor; Calibration; Passive Marker; Stereo Vision System;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    ICCAS-SICE, 2009
  • Conference_Location
    Fukuoka
  • Print_ISBN
    978-4-907764-34-0
  • Electronic_ISBN
    978-4-907764-33-3
  • Type

    conf

  • Filename
    5333225