• DocumentCode
    2098824
  • Title

    Image Rectification Using Affine Epipolar Geometric Constraint

  • Author

    Liansheng, Sui ; Jiulong, Zhang ; Duwu, Cui

  • Author_Institution
    Sch. of Comput. Sci. & Eng., Xi´´an Univ. of Technol., Xian, China
  • Volume
    2
  • fYear
    2008
  • fDate
    20-22 Dec. 2008
  • Firstpage
    582
  • Lastpage
    588
  • Abstract
    To rapidly and accurately search the corresponding points along scan-lines, rectification of stereo pairs are performed so that corresponding epipolar lines are parallel to the horizontal scan-lines and the difference in vertical direction is zero. In this paper, the method to rectify image pairs could be divided into three steps including projective transformation, affine transformation and shearing transformation. The projective transformation matrix is computed under the affine epipolar geometry constraint, and the values of unknown parameters are searched by an algorithm which does not require the relative matrix be positive definite. In this paper, an optimization function is presented to remove the difference in vertical direction and an algorithm is developed to estimate initial values of some parameters such as scale weights and vertical offset.
  • Keywords
    computer vision; matrix algebra; optimisation; stereo image processing; affine epipolar geometric constraint; epipolar lines; image rectification; optimization function; projective transformation matrix; Cameras; Computational geometry; Computer science; Computer vision; Concurrent computing; Layout; Nonlinear distortion; Pixel; Shearing; Stereo vision; affine epipolar geometric constraint; epipolar geometry; image rectification;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Science and Computational Technology, 2008. ISCSCT '08. International Symposium on
  • Conference_Location
    Shanghai
  • Print_ISBN
    978-1-4244-3746-7
  • Type

    conf

  • DOI
    10.1109/ISCSCT.2008.76
  • Filename
    4731692