Removing Rolling Shutter Wobble
Abstract
We present an algorithm to remove wobble artifacts from a video captured with a rolling shutter camera undergoing large accelerations or jitter. We show how estimating the rapid motion of the camera can be posed as a temporal super-resolution problem. The low-frequency measurements are the motions of pixels from one frame to the next. These measurements are modeled as temporal integrals of the underlying high-frequency jitter of the camera. The estimated high-frequency motion of the camera is then used to re-render the sequence as though all the pixels in each frame were imaged at the same time. We also present an auto-calibration algorithm that can estimate the time between the capture of subsequent rows in the camera.
Cite
Text
Baker et al. "Removing Rolling Shutter Wobble." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2010. doi:10.1109/CVPR.2010.5539932Markdown
[Baker et al. "Removing Rolling Shutter Wobble." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2010.](https://mlanthology.org/cvpr/2010/baker2010cvpr-removing/) doi:10.1109/CVPR.2010.5539932BibTeX
@inproceedings{baker2010cvpr-removing,
title = {{Removing Rolling Shutter Wobble}},
author = {Baker, Simon and Bennett, Eric P. and Kang, Sing Bing and Szeliski, Richard},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition},
year = {2010},
pages = {2392-2399},
doi = {10.1109/CVPR.2010.5539932},
url = {https://mlanthology.org/cvpr/2010/baker2010cvpr-removing/}
}