Multi-Camera Calibration with One-Dimensional Object Under General Motions
Abstract
It is well known that in order to calibrate a single camera with a one-dimensional (1D) calibration object, the object must undertake some constrained motions, in other words, it is impossible to calibrate a single camera if the object motion is of general one. For a multi-camera setup, i.e., when the number of camera is more than one, can the cameras be calibrated by a 1D object under general motions? In this work, we prove that all cameras can indeed be calibrated and a calibration algorithm is also proposed and experimentally tested. In contrast to other multi-camera calibration method, no one calibrated "base" camera is needed. In addition, we show that for such multi-camera cases, the minimum condition of calibration and critical motions are similar to those of calibrating a single camera with 1D calibration object.
Cite
Text
Wang et al. "Multi-Camera Calibration with One-Dimensional Object Under General Motions." IEEE/CVF International Conference on Computer Vision, 2007. doi:10.1109/ICCV.2007.4408994Markdown
[Wang et al. "Multi-Camera Calibration with One-Dimensional Object Under General Motions." IEEE/CVF International Conference on Computer Vision, 2007.](https://mlanthology.org/iccv/2007/wang2007iccv-multi/) doi:10.1109/ICCV.2007.4408994BibTeX
@inproceedings{wang2007iccv-multi,
title = {{Multi-Camera Calibration with One-Dimensional Object Under General Motions}},
author = {Wang, Liang and Wu, Fuchao and Hu, Zhanyi},
booktitle = {IEEE/CVF International Conference on Computer Vision},
year = {2007},
pages = {1-7},
doi = {10.1109/ICCV.2007.4408994},
url = {https://mlanthology.org/iccv/2007/wang2007iccv-multi/}
}