ML Anthology

Iterative Pose Estimation Using Coplanar Points

Denis Oberkampf, Daniel DeMenthon, Larry S. Davis
CVPR 1993 pp. 626-627
doi:10.1109/CVPR.1993.341055 /cvpr/1993/oberkampf1993cvpr-iterative/

Abstract

A new method is presented for the computation of the position and orientation of a camera with respect to a known object, using four or more coplanar feature points. Starting under the scaled orthographic projection approximation, this method iteratively refines up to two different pose estimates, and provides associated quality measures. When the distance of the object to the camera is large, or when the accuracy of the feature point extraction is low, both pose estimates are plausible.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">&gt;</ETX>

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Cite

Text

Oberkampf et al. "Iterative Pose Estimation Using Coplanar Points." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 1993. doi:10.1109/CVPR.1993.341055

Markdown

[Oberkampf et al. "Iterative Pose Estimation Using Coplanar Points." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 1993.](https://mlanthology.org/cvpr/1993/oberkampf1993cvpr-iterative/) doi:10.1109/CVPR.1993.341055

BibTeX

@inproceedings{oberkampf1993cvpr-iterative,
  title     = {{Iterative Pose Estimation Using Coplanar Points}},
  author    = {Oberkampf, Denis and DeMenthon, Daniel and Davis, Larry S.},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  year      = {1993},
  pages     = {626-627},
  doi       = {10.1109/CVPR.1993.341055},
  url       = {https://mlanthology.org/cvpr/1993/oberkampf1993cvpr-iterative/}
}