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Toward a Statistically Optimal Method for Estimating Geometric Relations from Noisy Data: Cases of Linear Relations

Takayuki Okatani, Koichiro Deguchi
CVPR 2003 pp. 432-439
doi:10.1109/CVPR.2003.1211386 /cvpr/2003/okatani2003cvpr-statistically/
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Cite

Text

Okatani and Deguchi. "Toward a Statistically Optimal Method for Estimating Geometric Relations from Noisy Data: Cases of Linear Relations." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2003. doi:10.1109/CVPR.2003.1211386

Markdown

[Okatani and Deguchi. "Toward a Statistically Optimal Method for Estimating Geometric Relations from Noisy Data: Cases of Linear Relations." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2003.](https://mlanthology.org/cvpr/2003/okatani2003cvpr-statistically/) doi:10.1109/CVPR.2003.1211386

BibTeX

@inproceedings{okatani2003cvpr-statistically,
  title     = {{Toward a Statistically Optimal Method for Estimating Geometric Relations from Noisy Data: Cases of Linear Relations}},
  author    = {Okatani, Takayuki and Deguchi, Koichiro},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  year      = {2003},
  pages     = {432-439},
  doi       = {10.1109/CVPR.2003.1211386},
  url       = {https://mlanthology.org/cvpr/2003/okatani2003cvpr-statistically/}
}