Error Analysis of Pure Rotation-Based Self-Calibration
Abstract
Self-calibration using pure rotation is a well-known technique and has been shown to be a reliable means for recovering intrinsic camera parameters. However, in practice, it is virtually impossible to ensure that the camera motion for this type of self-calibration is a pure rotation. In this paper, we present an error analysis of recovered intrinsic camera parameters due to the presence of translation. We derived closed-form error expressions for a single pair of images with nondegenerate motion; for multiple rotations for which there are no closed-form solutions, analysis was done through repeated experiments. Among others, we show that translation-independent solutions do exist under certain practical conditions. Our analysis can be used to help choose the least error-prone approach (if multiple approaches exist) for a given set of conditions.
Cite
Text
Wang et al. "Error Analysis of Pure Rotation-Based Self-Calibration." IEEE/CVF International Conference on Computer Vision, 2001. doi:10.1109/ICCV.2001.10063Markdown
[Wang et al. "Error Analysis of Pure Rotation-Based Self-Calibration." IEEE/CVF International Conference on Computer Vision, 2001.](https://mlanthology.org/iccv/2001/wang2001iccv-error/) doi:10.1109/ICCV.2001.10063BibTeX
@inproceedings{wang2001iccv-error,
title = {{Error Analysis of Pure Rotation-Based Self-Calibration}},
author = {Wang, Leslie and Kang, Sing Bing and Shum, Heung-Yeung and Xu, Guangyou},
booktitle = {IEEE/CVF International Conference on Computer Vision},
year = {2001},
pages = {464-471},
doi = {10.1109/ICCV.2001.10063},
url = {https://mlanthology.org/iccv/2001/wang2001iccv-error/}
}