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
Link To Document