• DocumentCode
    1378994
  • Title

    3-D polyhedral face computation from two perspective views with the aid of a calibration plate

  • Author

    Chiu, Jui-Man ; Chen, Zen ; Wang, Chao-Ming

  • Author_Institution
    Dept. of Comput. Sci. & Inf. Eng., Nat. Chiao Tung Univ., Hsinchu, Taiwan
  • Volume
    13
  • Issue
    2
  • fYear
    1997
  • fDate
    4/1/1997 12:00:00 AM
  • Firstpage
    290
  • Lastpage
    295
  • Abstract
    The 3-D reconstruction of visible polyhedral faces from a pair of general perspective views with the aid of a calibration plate is addressed. A polyhedron is placed on a planar calibration plate and two side views of both the polyhedron and the calibration plate are taken. Through proper arrangements we may assume that in the two views a number of polyhedral edges lying on the calibration plate and the whole calibration plate boundary are visible. We present an online camera calibration technique with the aid of the calibration plate and a two-stage process to find the vertex/edge correspondences without encountering the ambiguity problem of the conventional epipolar line technique. We then give a closed form solution to the 3-D polyhedral vertices visible in both images. We also describe other advantages of using our method for the 3-D polyhedron reconstruction. Experimental results show that the obtained 3-D polyhedral vertex coordinates are rather accurate
  • Keywords
    calibration; computational geometry; computer vision; edge detection; image reconstruction; object recognition; real-time systems; stereo image processing; 3D polyhedral faces; calibration plate; computer vision; feature correspondences; object recognition; online camera calibration; perspective views; polyhedron reconstruction; stereo vision; Calibration; Cameras; Chaos; Closed-form solution; Image reconstruction; Lenses; Robot vision systems; Robotics and automation; Stereo vision; Three dimensional displays;
  • fLanguage
    English
  • Journal_Title
    Robotics and Automation, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1042-296X
  • Type

    jour

  • DOI
    10.1109/70.563650
  • Filename
    563650