• DocumentCode
    354264
  • Title

    Self-calibration algorithm of rotation cameras

  • Author

    Hongchua, Yu ; Fuchao, Wu ; Bo, Yuan ; Sui, Wei

  • Author_Institution
    Inst. of AI, Anhui Univ., Hefei, China
  • Volume
    2
  • fYear
    2000
  • fDate
    2000
  • Firstpage
    1321
  • Abstract
    We overcome the shortcomings of Hartley´s self-salibration algorithm, and obtain the following major results: 1) a rotation camera about coordinate axis, the formula of camera intrinsic parameters and practical algorithm are obtained; and 2) a rotation camera about unknown axis. A family of camera intrinsic parameter matrix, consisting with 2D projective transformation, can be obtained. It was proved that the local camera intrinsic parameter matrix can be uniquely determined through the method based on two different unknown rotational axes. Meanwhile, its practical algorithm is provided. Tests with synthetic data and real images indicate that the algorithms presented are robust and practical
  • Keywords
    calibration; computer vision; matrix algebra; self-adjusting systems; 2D projective transformation; coordinate axis; intrinsic parameter matrix; rotation cameras; self-calibration; Artificial intelligence; Calibration; Cameras; Layout; Lenses; Matrix decomposition; Noise robustness; Nonlinear equations; Testing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Control and Automation, 2000. Proceedings of the 3rd World Congress on
  • Conference_Location
    Hefei
  • Print_ISBN
    0-7803-5995-X
  • Type

    conf

  • DOI
    10.1109/WCICA.2000.863459
  • Filename
    863459