Omni-Rig: Linear Self-Recalibration of a Rig with Varying Internal and External Parameters
Abstract
We describe the principles of building a moving vision platform (a Rig) that once calibrated can thereon self-adjust to changes in its internal configuration and maintain an Euclidean representation of the 3D world using only projective measurements. We term this calibration paradigm "Omni-Rig". We assume that after calibration the cameras may change critical elements of their configuration, including internal parameters and centers of projection. Theoretically we show that knowing only the rotations between a set of cameras is sufficient for Euclidean calibration even with varying internal parameters and unknown translations. No other information of the world is required.
Cite
Text
Zomet et al. "Omni-Rig: Linear Self-Recalibration of a Rig with Varying Internal and External Parameters." IEEE/CVF International Conference on Computer Vision, 2001. doi:10.1109/ICCV.2001.10005Markdown
[Zomet et al. "Omni-Rig: Linear Self-Recalibration of a Rig with Varying Internal and External Parameters." IEEE/CVF International Conference on Computer Vision, 2001.](https://mlanthology.org/iccv/2001/zomet2001iccv-omni/) doi:10.1109/ICCV.2001.10005BibTeX
@inproceedings{zomet2001iccv-omni,
title = {{Omni-Rig: Linear Self-Recalibration of a Rig with Varying Internal and External Parameters}},
author = {Zomet, Assaf and Wolf, Lior and Shashua, Amnon},
booktitle = {IEEE/CVF International Conference on Computer Vision},
year = {2001},
pages = {135-141},
doi = {10.1109/ICCV.2001.10005},
url = {https://mlanthology.org/iccv/2001/zomet2001iccv-omni/}
}