ML Anthology

Accuracy Assessment on Camera Calibration Method Not Considering Lens Distortion

Sheng-Wen Shih, Yi-Ping Hung, Wei-Song Lin
CVPR 1992 pp. 755-757
doi:10.1109/CVPR.1992.223181 /cvpr/1992/shih1992cvpr-accuracy/

Abstract

The authors investigate the effect of neglecting lens distortion, and present a theoretical analysis of the calibration accuracy. The error bound derived is a function of a few factors, including the number of calibration points, the observation error of 2-D image points, the radial lens distortion coefficient, and the image size and resolution. This error bound provides a guideline for selecting both a proper camera calibration configuration and an appropriate camera model while providing the desired accuracy. Experimental results from both computer simulations and real experiments are given.< <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

Shih et al. "Accuracy Assessment on Camera Calibration Method Not Considering Lens Distortion." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 1992. doi:10.1109/CVPR.1992.223181

Markdown

[Shih et al. "Accuracy Assessment on Camera Calibration Method Not Considering Lens Distortion." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 1992.](https://mlanthology.org/cvpr/1992/shih1992cvpr-accuracy/) doi:10.1109/CVPR.1992.223181

BibTeX

@inproceedings{shih1992cvpr-accuracy,
  title     = {{Accuracy Assessment on Camera Calibration Method Not Considering Lens Distortion}},
  author    = {Shih, Sheng-Wen and Hung, Yi-Ping and Lin, Wei-Song},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  year      = {1992},
  pages     = {755-757},
  doi       = {10.1109/CVPR.1992.223181},
  url       = {https://mlanthology.org/cvpr/1992/shih1992cvpr-accuracy/}
}