Detail publikace

Real-Time Line Detection Using Accelerated High-Resolution Hough Transform

Originální název

Real-Time Line Detection Using Accelerated High-Resolution Hough Transform

Anglický název

Real-Time Line Detection Using Accelerated High-Resolution Hough Transform

Jazyk

en

Originální abstrakt

Hough transform is a well-known and popular algorithm for detecting lines in raster images.  The standard Hough transform is rather slow to be usable in real-time, so different accelerated and approximated algorithms exist. This paper proposes a modified accumulation scheme for the Hough transform, which makes it suitable for computer systems with small but fast read-write memory -- such as the today's GPUs.  The proposed algorithm is evaluated both on synthetic binary images and on complex real-world photos of high resolutions.  The results show that using today's commodity graphics chips, the Hough transform can be computed at interactive frame rates even with high resolution of the Hough space and with the Hough transform fully computed.

Anglický abstrakt

Hough transform is a well-known and popular algorithm for detecting lines in raster images.  The standard Hough transform is rather slow to be usable in real-time, so different accelerated and approximated algorithms exist. This paper proposes a modified accumulation scheme for the Hough transform, which makes it suitable for computer systems with small but fast read-write memory -- such as the today's GPUs.  The proposed algorithm is evaluated both on synthetic binary images and on complex real-world photos of high resolutions.  The results show that using today's commodity graphics chips, the Hough transform can be computed at interactive frame rates even with high resolution of the Hough space and with the Hough transform fully computed.

BibTex


@inproceedings{BUT76263,
  author="Radovan {Jošth} and Markéta {Juránková} and Adam {Herout} and Jiří {Havel}",
  title="Real-Time Line Detection Using Accelerated High-Resolution Hough Transform",
  annote="Hough transform is a well-known and popular algorithm for detecting lines in
raster images.  The standard Hough transform is rather slow to be usable in
real-time, so different accelerated and approximated algorithms exist.
This paper proposes a modified accumulation scheme for the Hough transform, which
makes it suitable for computer systems with small but fast read-write memory --
such as the today's GPUs.  The proposed algorithm is evaluated both on synthetic
binary images and on complex real-world photos of high resolutions.  The results
show that using today's commodity graphics chips, the Hough transform can be
computed at interactive frame rates even with high resolution of the Hough space
and with the Hough transform fully computed.",
  address="Springer Verlag",
  booktitle="Proceedings of SCIA 2011, LNCS",
  chapter="76263",
  edition="NEUVEDEN",
  howpublished="print",
  institution="Springer Verlag",
  year="2011",
  month="may",
  pages="784--793",
  publisher="Springer Verlag",
  type="conference paper"
}