A Practical Algorithm for L Triangulation with Outliers
Abstract
This paper addresses the problem of robust optimal multi-view triangulation. We propose an abstract framework, as well as a practical algorithm, which finds the best 3D reconstruction with guaranteed global optimality even in the presence of outliers. Our algorithm is founded on the theory of LP-type problem. We have recognized that the L∞ triangulation is a concrete example of the LP-type problems. We propose a set of non-trivial basis operation subroutines that actually implement the idea. Experiments have validated the effectiveness and efficiency of the proposed algorithm.
Cite
Text
Li. "A Practical Algorithm for L Triangulation with Outliers." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2007. doi:10.1109/CVPR.2007.383068Markdown
[Li. "A Practical Algorithm for L Triangulation with Outliers." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2007.](https://mlanthology.org/cvpr/2007/li2007cvpr-practical/) doi:10.1109/CVPR.2007.383068BibTeX
@inproceedings{li2007cvpr-practical,
title = {{A Practical Algorithm for L Triangulation with Outliers}},
author = {Li, Hongdong},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition},
year = {2007},
doi = {10.1109/CVPR.2007.383068},
url = {https://mlanthology.org/cvpr/2007/li2007cvpr-practical/}
}