Rolling Shutter Camera Relative Pose: Generalized Epipolar Geometry
Abstract
The vast majority of modern consumer-grade cameras employ a rolling shutter mechanism. In dynamic geometric computer vision applications such as visual SLAM, the so-called rolling shutter effect therefore needs to be properly taken into account. A dedicated relative pose solver appears to be the first problem to solve, as it is of eminent importance to bootstrap any derivation of multi-view geometry. However, despite its significance, it has received inadequate attention to date. This paper presents a detailed investigation of the geometry of the rolling shutter relative pose problem. We introduce the rolling shutter essential matrix, and establish its link to existing models such as the push-broom cameras, summarized in a clean hierarchy of multi-perspective cameras. The generalization of well-established concepts from epipolar geometry is completed by a definition of the Sampson distance in the rolling shutter case. The work is concluded with a careful investigation of the introduced epipolar geometry for rolling shutter cameras on several dedicated benchmarks.
Cite
Text
Dai et al. "Rolling Shutter Camera Relative Pose: Generalized Epipolar Geometry." Conference on Computer Vision and Pattern Recognition, 2016. doi:10.1109/CVPR.2016.448Markdown
[Dai et al. "Rolling Shutter Camera Relative Pose: Generalized Epipolar Geometry." Conference on Computer Vision and Pattern Recognition, 2016.](https://mlanthology.org/cvpr/2016/dai2016cvpr-rolling/) doi:10.1109/CVPR.2016.448BibTeX
@inproceedings{dai2016cvpr-rolling,
title = {{Rolling Shutter Camera Relative Pose: Generalized Epipolar Geometry}},
author = {Dai, Yuchao and Li, Hongdong and Kneip, Laurent},
booktitle = {Conference on Computer Vision and Pattern Recognition},
year = {2016},
doi = {10.1109/CVPR.2016.448},
url = {https://mlanthology.org/cvpr/2016/dai2016cvpr-rolling/}
}