• DocumentCode
    3330952
  • Title

    Radial Distortion Self-Calibration

  • Author

    Brito, Jose Henrique ; Angst, R. ; Koser, Kevin ; Pollefeys, Marc

  • Author_Institution
    IPCA, Barcelos, Portugal
  • fYear
    2013
  • fDate
    23-28 June 2013
  • Firstpage
    1368
  • Lastpage
    1375
  • Abstract
    In cameras with radial distortion, straight lines in space are in general mapped to curves in the image. Although epipolar geometry also gets distorted, there is a set of special epipolar lines that remain straight, namely those that go through the distortion center. By finding these straight epipolar lines in camera pairs we can obtain constraints on the distortion center(s) without any calibration object or plumb line assumptions in the scene. Although this holds for all radial distortion models we conceptually prove this idea using the division distortion model and the radial fundamental matrix which allow for a very simple closed form solution of the distortion center from two views (same distortion) or three views (different distortions). The non-iterative nature of our approach makes it immune to local minima and allows finding the distortion center also for cropped images or those where no good prior exists. Besides this, we give comprehensive relations between different undistortion models and discuss advantages and drawbacks.
  • Keywords
    calibration; distortion; feature extraction; matrix algebra; camera pairs; cropped images; distortion center; division distortion model; epipolar geometry; radial distortion models; radial distortion self-calibration; radial fundamental matrix; special epipolar lines; straight epipolar lines; undistortion models; Calibration; Cameras; Computational modeling; Geometry; Lenses; Nonlinear distortion; Visualization; Center of Distortion; Epipolar Curve; Radial Distortion; Self-calibration;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Vision and Pattern Recognition (CVPR), 2013 IEEE Conference on
  • Conference_Location
    Portland, OR
  • ISSN
    1063-6919
  • Type

    conf

  • DOI
    10.1109/CVPR.2013.180
  • Filename
    6619024