From Two Rolling Shutters to One Global Shutter
Abstract
Most consumer cameras are equipped with electronic rolling shutter, leading to image distortions when the camera moves during image capture. We explore a surprisingly simple camera configuration that makes it possible to undo the rolling shutter distortion: two cameras mounted to have different rolling shutter directions. Such a setup is easy and cheap to build and it possesses the geometric constraints needed to correct rolling shutter distortion using only a sparse set of point correspondences between the two images. We derive equations that describe the underlying geometry for general and special motions and present an efficient method for finding their solutions. Our synthetic and real experiments demonstrate that our approach is able to remove large rolling shutter distortions of all types without relying on any specific scene structure.
Cite
Text
Albl et al. "From Two Rolling Shutters to One Global Shutter." Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020. doi:10.1109/CVPR42600.2020.00258Markdown
[Albl et al. "From Two Rolling Shutters to One Global Shutter." Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020.](https://mlanthology.org/cvpr/2020/albl2020cvpr-two/) doi:10.1109/CVPR42600.2020.00258BibTeX
@inproceedings{albl2020cvpr-two,
title = {{From Two Rolling Shutters to One Global Shutter}},
author = {Albl, Cenek and Kukelova, Zuzana and Larsson, Viktor and Polic, Michal and Pajdla, Tomas and Schindler, Konrad},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition},
year = {2020},
doi = {10.1109/CVPR42600.2020.00258},
url = {https://mlanthology.org/cvpr/2020/albl2020cvpr-two/}
}