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Metric Self Calibration from Screw-Transform Manifolds

Russell A. Manning, Charles R. Dyer
CVPR 2001 pp. I:590-597
doi:10.1109/CVPR.2001.990527 /cvpr/2001/manning2001cvpr-metric/

Abstract

This paper introduces a method for metric self-calibration that is based on a novel decomposition of the fundamental matrix between two views taken by a camera with fixed internal parameters. The method blends important advantages of the Kruppa constraints and the modulus constraint: it works directly from fundamental matrices and uses a reduced-parameter representation for stability. General properties of the new decomposition are also developed, including an intuitive interpretation of the three free parameters of internal calibration. The approach is demonstrated on both real and synthetic data.

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Cite

Text

Manning and Dyer. "Metric Self Calibration from Screw-Transform Manifolds." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2001. doi:10.1109/CVPR.2001.990527

Markdown

[Manning and Dyer. "Metric Self Calibration from Screw-Transform Manifolds." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2001.](https://mlanthology.org/cvpr/2001/manning2001cvpr-metric/) doi:10.1109/CVPR.2001.990527

BibTeX

@inproceedings{manning2001cvpr-metric,
  title     = {{Metric Self Calibration from Screw-Transform Manifolds}},
  author    = {Manning, Russell A. and Dyer, Charles R.},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  year      = {2001},
  pages     = {I:590-597},
  doi       = {10.1109/CVPR.2001.990527},
  url       = {https://mlanthology.org/cvpr/2001/manning2001cvpr-metric/}
}