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Description
  • 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.
  • 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. (en)
Title
  • PClines - Line Detection Using Parallel Coordinates
  • PClines - Line Detection Using Parallel Coordinates (en)
skos:prefLabel
  • PClines - Line Detection Using Parallel Coordinates
  • PClines - Line Detection Using Parallel Coordinates (en)
skos:notation
  • RIV/00216305:26230/11:PU95978!RIV12-MSM-26230___
http://linked.open...avai/predkladatel
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • P(7H10014), Z(MSM0021630528)
http://linked.open...vai/riv/dodaniDat
http://linked.open...aciTvurceVysledku
http://linked.open.../riv/druhVysledku
http://linked.open...iv/duvernostUdaju
http://linked.open...titaPredkladatele
http://linked.open...dnocenehoVysledku
  • 219765
http://linked.open...ai/riv/idVysledku
  • RIV/00216305:26230/11:PU95978
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • Line Detection, Parallel Coordinates, PClines, Hough Transform (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [6E395179CD28]
http://linked.open...v/mistoKonaniAkce
  • Colorado Springs
http://linked.open...i/riv/mistoVydani
  • Colorado Springs
http://linked.open...i/riv/nazevZdroje
  • Proceedings of CVPR 2011
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
http://linked.open...cetTvurcuVysledku
http://linked.open...vavai/riv/projekt
http://linked.open...UplatneniVysledku
http://linked.open...iv/tvurceVysledku
  • Havel, Jiří
  • Herout, Adam
  • Dubská, Markéta
http://linked.open...vavai/riv/typAkce
http://linked.open.../riv/zahajeniAkce
http://linked.open...n/vavai/riv/zamer
number of pages
http://purl.org/ne...btex#hasPublisher
  • IEEE Computer Society
https://schema.org/isbn
  • 978-1-4577-0393-5
http://localhost/t...ganizacniJednotka
  • 26230
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