Calibration of a Multicamera Network
Abstract
With the advent of laboratories containing dozens of cameras, and the possibility of laboratories containing hundreds of cameras, the question of how to calibrate all the cameras has become pressing. While it is certainly possible to calibrate these networks in a labor intensive manner, a simple, stable, and accurate calibration method is still needed. This paper presents such a method, based on textures printable on a laser printer and mounted on a board. We will show what the problems with the current methods are, and show how these problems can be overcome with a novel use of a trilinear constraint related to the vanishing point constraint, which we call the primsatic line constraint. High accuracy with little user effort is achieved with this method.
Cite
Text
Baker and Aloimonos. "Calibration of a Multicamera Network." IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2003. doi:10.1109/CVPRW.2003.10085Markdown
[Baker and Aloimonos. "Calibration of a Multicamera Network." IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2003.](https://mlanthology.org/cvprw/2003/baker2003cvprw-calibration/) doi:10.1109/CVPRW.2003.10085BibTeX
@inproceedings{baker2003cvprw-calibration,
title = {{Calibration of a Multicamera Network}},
author = {Baker, Patrick and Aloimonos, Yiannis},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops},
year = {2003},
pages = {72},
doi = {10.1109/CVPRW.2003.10085},
url = {https://mlanthology.org/cvprw/2003/baker2003cvprw-calibration/}
}