Detection of Concentric Circles for Camera Calibration
Abstract
The geometry of plane-based calibration methods is well understood, but some user interaction is often needed in practice for feature detection. This paper presents a fully automatic calibration system that uses patterns of pairs of concentric circles. The key observation is to introduce a geometric method that constructs a sequence of points strictly convergent to the image of the circle center from an arbitrary point. The method automatically detects the points of the pattern features by the construction method, and identify them by invariants. It then takes advantage of homological constraints to consistently and optimally estimate the features in the image. The experiments demonstrate the robustness and the accuracy of the new method.
Cite
Text
Jiang and Quan. "Detection of Concentric Circles for Camera Calibration." IEEE/CVF International Conference on Computer Vision, 2005. doi:10.1109/ICCV.2005.73Markdown
[Jiang and Quan. "Detection of Concentric Circles for Camera Calibration." IEEE/CVF International Conference on Computer Vision, 2005.](https://mlanthology.org/iccv/2005/jiang2005iccv-detection/) doi:10.1109/ICCV.2005.73BibTeX
@inproceedings{jiang2005iccv-detection,
title = {{Detection of Concentric Circles for Camera Calibration}},
author = {Jiang, Guang and Quan, Long},
booktitle = {IEEE/CVF International Conference on Computer Vision},
year = {2005},
pages = {333-340},
doi = {10.1109/ICCV.2005.73},
url = {https://mlanthology.org/iccv/2005/jiang2005iccv-detection/}
}