ML Anthology

Active Intrinsic Calibration Using Vanishing Points

Konstantinos Daniilidis, Jörg Ernst
CVPR 1996 pp. 708-713
doi:10.1109/CVPR.1996.517150 /cvpr/1996/daniilidis1996cvpr-active/

Abstract

During a fixed axis camera rotation every image point is moving on a conic section. If the point is a vanishing point the conic section is invariant to possible translations of the observer. Given the rotation axis and the inter-frame correspondence of a set of parallel lines we are able to compute the intrinsic parameters without knowledge of the rotation angles. We propagate the error covariances and we remove the bias in the computation of the conic. We experimentally study the sensitivity of calibration to the amount of rotation and we compare our performance to the performance of a recent active calibration technique.

CVPR Semantic Scholar

Cite

Text

Daniilidis and Ernst. "Active Intrinsic Calibration Using Vanishing Points." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 1996. doi:10.1109/CVPR.1996.517150

Markdown

[Daniilidis and Ernst. "Active Intrinsic Calibration Using Vanishing Points." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 1996.](https://mlanthology.org/cvpr/1996/daniilidis1996cvpr-active/) doi:10.1109/CVPR.1996.517150

BibTeX

@inproceedings{daniilidis1996cvpr-active,
  title     = {{Active Intrinsic Calibration Using Vanishing Points}},
  author    = {Daniilidis, Konstantinos and Ernst, Jörg},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  year      = {1996},
  pages     = {708-713},
  doi       = {10.1109/CVPR.1996.517150},
  url       = {https://mlanthology.org/cvpr/1996/daniilidis1996cvpr-active/}
}