Efficient Solution of Point-Line Absolute Pose
Abstract
We revisit certain problems of pose estimation based on 3D--2D correspondences between features which may be points or lines. Specifically we address the two previously-studied minimal problems of estimating camera extrinsics from p \in \ 1 2 \ point--point correspondences and l=3-p line--line correspondences. To the best of our knowledge all of the previously-known practical solutions to these problems required computing the roots of degree \ge 4 (univariate) polynomials when p=2 or degree \ge 8 polynomials when p=1. We describe and implement two elementary solutions which reduce the degrees of the needed polynomials from 4 to 2 and from 8 to 4 respectively. We show experimentally that the resulting solvers are numerically stable and fast: when compared to the previous state-of-the art we may obtain nearly an order of magnitude speedup. The code is available at https://github.com/petrhruby97/efficient_absolute
Cite
Text
Hruby et al. "Efficient Solution of Point-Line Absolute Pose." Conference on Computer Vision and Pattern Recognition, 2024. doi:10.1109/CVPR52733.2024.02014Markdown
[Hruby et al. "Efficient Solution of Point-Line Absolute Pose." Conference on Computer Vision and Pattern Recognition, 2024.](https://mlanthology.org/cvpr/2024/hruby2024cvpr-efficient/) doi:10.1109/CVPR52733.2024.02014BibTeX
@inproceedings{hruby2024cvpr-efficient,
title = {{Efficient Solution of Point-Line Absolute Pose}},
author = {Hruby, Petr and Duff, Timothy and Pollefeys, Marc},
booktitle = {Conference on Computer Vision and Pattern Recognition},
year = {2024},
pages = {21316-21325},
doi = {10.1109/CVPR52733.2024.02014},
url = {https://mlanthology.org/cvpr/2024/hruby2024cvpr-efficient/}
}