• DocumentCode
    3330933
  • Title

    Rolling Shutter Camera Calibration

  • Author

    Oth, Luc ; Furgale, Paul ; Kneip, Laurent ; Siegwart, R.

  • Author_Institution
    Autonomous Syst. Lab., ETH Zurich, Zurich, Switzerland
  • fYear
    2013
  • fDate
    23-28 June 2013
  • Firstpage
    1360
  • Lastpage
    1367
  • Abstract
    Rolling Shutter (RS) cameras are used across a wide range of consumer electronic devices-from smart-phones to high-end cameras. It is well known, that if a RS camera is used with a moving camera or scene, significant image distortions are introduced. The quality or even success of structure from motion on rolling shutter images requires the usual intrinsic parameters such as focal length and distortion coefficients as well as accurate modelling of the shutter timing. The current state-of-the-art technique for calibrating the shutter timings requires specialised hardware. We present a new method that only requires video of a known calibration pattern. Experimental results on over 60 real datasets show that our method is more accurate than the current state of the art.
  • Keywords
    calibration; cameras; distortion; image motion analysis; RS cameras; calibration pattern; consumer electronic devices; distortion coefficients; focal length; high-end cameras; image distortions; rolling shutter camera calibration; rolling shutter images; shutter timing; smart-phones; Calibration; Cameras; Delays; Equations; Estimation; Mathematical model; Sensors; calibration; continuous-time estimation; rolling shutter camera;
  • 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.2013.179
  • Filename
    6619023