ML Anthology

PClines - Line Detection Using Parallel Coordinates

Markéta Dubská, Adam Herout, Jirí Havel
CVPR 2011 pp. 1489-1494
doi:10.1109/CVPR.2011.5995501 /cvpr/2011/dubska2011cvpr-pclines/

Abstract

Detection of lines in raster images is often performed using Hough transform. This paper presents a new parameterization of lines and a modification of the Hough transform–PClines. PClines are based on parallel coordinates, a coordinate system used mostly or solely for high-dimensional data visualization. The PClines algorithm is described in the paper; its accuracy is evaluated numerically and compared to the commonly used line detectors based on the Hough transform. The results show that PClines outperform the existing approaches in terms of accuracy. Besides, PClines are computationally extremely efficient, require no floating-point operations, and can be easily accelerated by different hardware architectures.

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Cite

Text

Dubská et al. "PClines - Line Detection Using Parallel Coordinates." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2011. doi:10.1109/CVPR.2011.5995501

Markdown

[Dubská et al. "PClines - Line Detection Using Parallel Coordinates." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2011.](https://mlanthology.org/cvpr/2011/dubska2011cvpr-pclines/) doi:10.1109/CVPR.2011.5995501

BibTeX

@inproceedings{dubska2011cvpr-pclines,
  title     = {{PClines - Line Detection Using Parallel Coordinates}},
  author    = {Dubská, Markéta and Herout, Adam and Havel, Jirí},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  year      = {2011},
  pages     = {1489-1494},
  doi       = {10.1109/CVPR.2011.5995501},
  url       = {https://mlanthology.org/cvpr/2011/dubska2011cvpr-pclines/}
}