Luc Oth, Paul Furgale, Laurent Kneip, Roland Siegwart

2013 IEEE Conference on Computer Vision and Pattern Recognition

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.


@inproceedings{oth_cvpr13,
Author = {Luc Oth and Paul Furgale and Laurent Kneip and Roland Siegwart},
Booktitle = {Computer Vision and Pattern Recognition (CVPR), 2013 IEEE Conference on},
Month = {25--27 June},
Title = {Rolling Shutter Camera Calibration},
Year = {2013}
}


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