ML Anthology

Analytically Solving Radial Distortion Parameters

Simone Graf, Tobias Hanning
CVPR 2005 pp. 1104-1109
doi:10.1109/CVPR.2005.70 /cvpr/2005/graf2005cvpr-analytically/

Abstract

Most camera calibration algorithms consider parameters that define the lens distortion mapping. The usual way to determine these parameters is to minimize a nonlinear optimization problem in the final step of a calibration algorithm. This neglects the fact that given the projection matrix and the calibration data the parameters of a radial distortion can be determined analytically. In this article we show that the problem can be solved in a closed form. We present an algorithm in which this is done and compare it to classic approaches.

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Cite

Text

Graf and Hanning. "Analytically Solving Radial Distortion Parameters." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2005. doi:10.1109/CVPR.2005.70

Markdown

[Graf and Hanning. "Analytically Solving Radial Distortion Parameters." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2005.](https://mlanthology.org/cvpr/2005/graf2005cvpr-analytically/) doi:10.1109/CVPR.2005.70

BibTeX

@inproceedings{graf2005cvpr-analytically,
  title     = {{Analytically Solving Radial Distortion Parameters}},
  author    = {Graf, Simone and Hanning, Tobias},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  year      = {2005},
  pages     = {1104-1109},
  doi       = {10.1109/CVPR.2005.70},
  url       = {https://mlanthology.org/cvpr/2005/graf2005cvpr-analytically/}
}