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Description
  • The traditional approach in detecting sets of concurrent and/or parallel lines is to first detect lines in the image and then find such groups of them which meet the concurrence condition. The Hough Transform can be used for detecting the lines and variants of HT such as the Cascaded Hough Transform can be used to detect the vanishing points. However, these approaches disregard much of the information actually accumulated to the Hough space. This article proposes using the Hough space as a 2D signal instead of just detecting the local maxima and processing them. On the example of QRcode detection, it is shown that this approach is computationally cheap, robust, and accurate. The proposed algorithm can be used for efficient and accurate detection and localization of matrix codes (QRcode, Aztec, DataMatrix, etc.) and chessboard-like calibration patterns.
  • The traditional approach in detecting sets of concurrent and/or parallel lines is to first detect lines in the image and then find such groups of them which meet the concurrence condition. The Hough Transform can be used for detecting the lines and variants of HT such as the Cascaded Hough Transform can be used to detect the vanishing points. However, these approaches disregard much of the information actually accumulated to the Hough space. This article proposes using the Hough space as a 2D signal instead of just detecting the local maxima and processing them. On the example of QRcode detection, it is shown that this approach is computationally cheap, robust, and accurate. The proposed algorithm can be used for efficient and accurate detection and localization of matrix codes (QRcode, Aztec, DataMatrix, etc.) and chessboard-like calibration patterns. (en)
Title
  • Real-Time Precise Detection of Regular Grids and Matrix Codes
  • Real-Time Precise Detection of Regular Grids and Matrix Codes (en)
skos:prefLabel
  • Real-Time Precise Detection of Regular Grids and Matrix Codes
  • Real-Time Precise Detection of Regular Grids and Matrix Codes (en)
skos:notation
  • RIV/00216305:26230/13:PU106308!RIV14-MSM-26230___
http://linked.open...avai/predkladatel
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • P(7H10014), P(ED1.1.00/02.0070)
http://linked.open...iv/cisloPeriodika
  • 1
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
  • 101646
http://linked.open...ai/riv/idVysledku
  • RIV/00216305:26230/13:PU106308
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • grid, matrix code, parallel coordinates, vanishing point (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...odStatuVydavatele
  • DE - Spolková republika Německo
http://linked.open...ontrolniKodProRIV
  • [D9B255CE57A2]
http://linked.open...i/riv/nazevZdroje
  • Journal of Real-Time Image Processing
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...v/svazekPeriodika
  • 2013
http://linked.open...iv/tvurceVysledku
  • Havel, Jiří
  • Herout, Adam
  • Dubská, Markéta
issn
  • 1861-8200
number of pages
http://localhost/t...ganizacniJednotka
  • 26230
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