Calibration-Free Rolling Shutter Removal
Venue
International Conference on Computational Photography [Best Paper], IEEE (2012)
Publication Year
2012
Authors
Matthias Grundmann, Vivek Kwatra, Daniel Castro, Irfan Essa
BibTeX
Abstract
We present a novel algorithm for efficient removal of rolling shutter distortions
in uncalibrated streaming videos. Our proposed method is calibration free as it
does not need any knowledge of the camera used, nor does it require calibration
using specially recorded calibration sequences. Our algorithm can perform rolling
shutter removal under varying focal lengths, as in videos from CMOS cameras
equipped with an optical zoom. We evaluate our approach across a broad range of
cameras and video sequences demonstrating robustness, scaleability, and
repeatability. We also conducted a user study, which demonstrates preference for
the output of our algorithm over other state-of-the art methods. Our algorithm is
computationally efficient, easy to parallelize, and robust to challenging artifacts
introduced by various cameras with differing technologies.
