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Self-Calibration of the Intrinsic Parameters of Cameras for Active Vision Systems

Fenglei Du, Michael Brady
CVPR 1993 pp. 477-482
doi:10.1109/CVPR.1993.341087 /cvpr/1993/du1993cvpr-self/

Abstract

A new technique for the calibration of the intrinsic parameters of cameras for active vision systems is presented. By making deliberate camera motions, the intrinsics of the cameras can be calibrated based either on the positional difference of optical flow field (PDOFF) or the trajectories of features (TOF) on the image plane. A way to detect the distortion of a camera lens is also presented. The calibration method is simple, fast, reliable, and very easy to combine with task performing processes. The performance of the technique is illustrated. The method can be used for general calibration of camera intrinsics.< <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

Du and Brady. "Self-Calibration of the Intrinsic Parameters of Cameras for Active Vision Systems." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 1993. doi:10.1109/CVPR.1993.341087

Markdown

[Du and Brady. "Self-Calibration of the Intrinsic Parameters of Cameras for Active Vision Systems." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 1993.](https://mlanthology.org/cvpr/1993/du1993cvpr-self/) doi:10.1109/CVPR.1993.341087

BibTeX

@inproceedings{du1993cvpr-self,
  title     = {{Self-Calibration of the Intrinsic Parameters of Cameras for Active Vision Systems}},
  author    = {Du, Fenglei and Brady, Michael},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  year      = {1993},
  pages     = {477-482},
  doi       = {10.1109/CVPR.1993.341087},
  url       = {https://mlanthology.org/cvpr/1993/du1993cvpr-self/}
}