• DocumentCode
    1742775
  • Title

    Robust vanishing point determination in noisy images

  • Author

    Bräuer-Burchardt, Christian ; Voss, Klaus

  • Author_Institution
    Inst. for Comput. Sci., Friedrich-Schiller-Univ., Jena, Germany
  • Volume
    1
  • fYear
    2000
  • fDate
    2000
  • Firstpage
    559
  • Abstract
    Some methods for the determination of vanishing points using line segments are presented. By indicating the identity between a method using Thales´ theorem and a Gaussian sphere based method we show that the knowledge of the position of the projection centre is not necessary as mostly assumed. This fact allows an accuracy improvement of a number of former methods using Gaussian sphere representation. We show by presenting some simulation experiments that the methods give very accurate results even in the case of very strong disturbances. With the knowledge of the noise value of the segment end point positions the random error can be estimated and the uncertainty of the calculated vanishing point can be determined
  • Keywords
    image processing; minimisation; Gaussian sphere based method; Thales´ theorem; accuracy improvement; line segments; noisy images; random error; robust vanishing point determination; very strong disturbances; Calibration; Cameras; Computer science; Digital images; GSM; Image analysis; Image reconstruction; Image segmentation; Robustness; Uncertainty;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Pattern Recognition, 2000. Proceedings. 15th International Conference on
  • Conference_Location
    Barcelona
  • ISSN
    1051-4651
  • Print_ISBN
    0-7695-0750-6
  • Type

    conf

  • DOI
    10.1109/ICPR.2000.905399
  • Filename
    905399