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Motion from 3D Line Correspondences: Linear and Non-Linear Solutions

Adrien Bartoli, Richard I. Hartley, Fredrik Kahl
CVPR 2003 pp. 477-484
doi:10.1109/CVPR.2003.1211392 /cvpr/2003/bartoli2003cvpr-motion/

Abstract

We address the problem of aligning two reconstructions of lines and cameras in projective, affine, metric or Euclidean space. We propose several 3D (three-dimensional) and image-related linear algorithms. The result can be used to initialize the nonlinear minimization of several proposed error functions, as well as the maximum likelihood estimator that we derive. We evaluate and compare our algorithms to existing ones using simulated and real data.

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Cite

Text

Bartoli et al. "Motion from 3D Line Correspondences: Linear and Non-Linear Solutions." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2003. doi:10.1109/CVPR.2003.1211392

Markdown

[Bartoli et al. "Motion from 3D Line Correspondences: Linear and Non-Linear Solutions." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2003.](https://mlanthology.org/cvpr/2003/bartoli2003cvpr-motion/) doi:10.1109/CVPR.2003.1211392

BibTeX

@inproceedings{bartoli2003cvpr-motion,
  title     = {{Motion from 3D Line Correspondences: Linear and Non-Linear Solutions}},
  author    = {Bartoli, Adrien and Hartley, Richard I. and Kahl, Fredrik},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  year      = {2003},
  pages     = {477-484},
  doi       = {10.1109/CVPR.2003.1211392},
  url       = {https://mlanthology.org/cvpr/2003/bartoli2003cvpr-motion/}
}