• DocumentCode
    457008
  • Title

    A Novel Linear Approach to Camera Calibration from Sphere Images

  • Author

    Ying, Xianghua ; Zha, Hongbin

  • Author_Institution
    National Lab. on Machine Perception, Peking Univ., Beijing
  • Volume
    1
  • fYear
    0
  • fDate
    0-0 0
  • Firstpage
    535
  • Lastpage
    538
  • Abstract
    Recently, some linear approaches to camera calibration from sphere images are proposed. In this paper, a novel linear approach is proposed by exploiting the identity constraint on the entries of the matrices for the sphere images, which is much simpler and more intuitive than previous linear ones. This novel algorithm has been tested in extensive experiments with respect to noise sensitivity
  • Keywords
    calibration; cameras; computer vision; matrix algebra; camera calibration; image recovery; noise sensitivity; sphere images; Algebra; Calibration; Cameras; Laboratories; Matrix decomposition; Nonlinear equations; Pattern recognition; Testing; Thyristors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Pattern Recognition, 2006. ICPR 2006. 18th International Conference on
  • Conference_Location
    Hong Kong
  • ISSN
    1051-4651
  • Print_ISBN
    0-7695-2521-0
  • Type

    conf

  • DOI
    10.1109/ICPR.2006.140
  • Filename
    1698949
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=457008