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A Linear Iterative Method for Auto-Calibration Using the DAC Equation

Yongduek Seo, Anders Heyden, Roberto Cipolla
CVPR 2001 pp. I:880-
doi:10.1109/CVPR.2001.990577 /cvpr/2001/seo2001cvpr-linear/

Abstract

In this paper, an iterative algorithm for auto-calibration is presented. The proposed algorithm switches between linearly estimating the dual of the absolute conic and the intrinsic parameters, while also incorporating the rank-3 constraint on the intrinsic parameters. The most important property of the algorithm is that it is completely general in the sense that any type of constraint on the intrinsic parameters might be used. The proposed algorithm locates in-between of a non-linear optimization and initial linear computation, and provides robust and sufficiently accurate initial values for a bundle adjustment routine. The performance of the algorithm is shown for both simulated and real data, especially in the important case of natural (zero skew and unit aspect ratio) cameras.

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Cite

Text

Seo et al. "A Linear Iterative Method for Auto-Calibration Using the DAC Equation." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2001. doi:10.1109/CVPR.2001.990577

Markdown

[Seo et al. "A Linear Iterative Method for Auto-Calibration Using the DAC Equation." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2001.](https://mlanthology.org/cvpr/2001/seo2001cvpr-linear/) doi:10.1109/CVPR.2001.990577

BibTeX

@inproceedings{seo2001cvpr-linear,
  title     = {{A Linear Iterative Method for Auto-Calibration Using the DAC Equation}},
  author    = {Seo, Yongduek and Heyden, Anders and Cipolla, Roberto},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  year      = {2001},
  pages     = {I:880-},
  doi       = {10.1109/CVPR.2001.990577},
  url       = {https://mlanthology.org/cvpr/2001/seo2001cvpr-linear/}
}