Publication detail

Real-Time Precise Detection of Regular Grids and Matrix Codes

JURÁNKOVÁ, M. HEROUT, A. HAVEL, J.

Original Title

Real-Time Precise Detection of Regular Grids and Matrix Codes

Type

journal article in Web of Science

Language

English

Original Abstract

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.

Keywords

grid, matrix code, parallel coordinates, vanishing point

Authors

JURÁNKOVÁ, M.; HEROUT, A.; HAVEL, J.

RIV year

2013

Released

1. 1. 2016

ISBN

1861-8200

Periodical

Journal of Real-Time Image Processing

Year of study

11

Number

1

State

Federal Republic of Germany

Pages from

193

Pages to

200

Pages count

8

URL

https://link.springer.com/article/10.1007/s11554-013-0325-6

BibTex

@article{BUT103448,
  author="Markéta {Juránková} and Adam {Herout} and Jiří {Havel}",
  title="Real-Time Precise Detection of Regular Grids and Matrix Codes",
  journal="Journal of Real-Time Image Processing",
  year="2016",
  volume="11",
  number="1",
  pages="193--200",
  doi="10.1007/s11554-013-0325-6",
  issn="1861-8200",
  url="https://link.springer.com/article/10.1007/s11554-013-0325-6"
}