An Efficient Minimal Solution for Multi-Camera Motion
Abstract
We propose an efficient method for estimating the motion of a multi-camera rig from a minimal set of feature correspondences. Existing methods for solving the multi-camera relative pose problem require extra correspondences, are slow to compute, and/or produce a multitude of solutions. Our solution uses a first-order approximation to relative pose in order to simplify the problem and produce an accurate estimate quickly. The solver is applicable to sequential multi-camera motion estimation and is fast enough for real-time implementation in a random sampling framework. Our experiments show that our approach is both stable and efficient on challenging test sequences.
Cite
Text
Ventura et al. "An Efficient Minimal Solution for Multi-Camera Motion." International Conference on Computer Vision, 2015. doi:10.1109/ICCV.2015.92Markdown
[Ventura et al. "An Efficient Minimal Solution for Multi-Camera Motion." International Conference on Computer Vision, 2015.](https://mlanthology.org/iccv/2015/ventura2015iccv-efficient/) doi:10.1109/ICCV.2015.92BibTeX
@inproceedings{ventura2015iccv-efficient,
title = {{An Efficient Minimal Solution for Multi-Camera Motion}},
author = {Ventura, Jonathan and Arth, Clemens and Lepetit, Vincent},
booktitle = {International Conference on Computer Vision},
year = {2015},
doi = {10.1109/ICCV.2015.92},
url = {https://mlanthology.org/iccv/2015/ventura2015iccv-efficient/}
}