Publication Details

PClines - Line Detection Using Parallel Coordinates

DUBSKÁ Markéta, HEROUT Adam and HAVEL Jiří. PClines - Line Detection Using Parallel Coordinates. In: Proceedings of CVPR 2011. Colorado Springs: IEEE Computer Society, 2011, pp. 1489-1494. ISBN 978-1-4577-0393-5.
Czech title
PClines - detekce úseček v obraze pomocí paralelních souřadnic
Type
conference paper
Language
english
Authors
Dubská Markéta, Ing., Ph.D. (DCGM FIT BUT)
Herout Adam, prof. Ing., Ph.D. (DCGM FIT BUT)
Havel Jiří, Ing., Ph.D. (DCGM FIT BUT)
Keywords

Line Detection, Parallel Coordinates, PClines, Hough Transform

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; it 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.

Published
2011
Pages
1489-1494
Proceedings
Proceedings of CVPR 2011
Conference
Computer Vision and Pattern Recognition (CVPR) 2011, Colorado Springs, US
ISBN
978-1-4577-0393-5
Publisher
IEEE Computer Society
Place
Colorado Springs, US
BibTeX 
@INPROCEEDINGS{FITPUB9488,
   author = "Mark\'{e}ta Dubsk\'{a} and Adam Herout and Ji\v{r}\'{i} Havel",
   title = "PClines - Line Detection Using Parallel Coordinates",
   pages = "1489--1494",
   booktitle = "Proceedings of CVPR 2011",
   year = 2011,
   location = "Colorado Springs, US",
   publisher = "IEEE Computer Society",
   ISBN = "978-1-4577-0393-5",
   language = "english",
   url = "https://www.fit.vut.cz/research/publication/9488"
}
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