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

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26230%2F11%3APU95989" target="_blank" >RIV/00216305:26230/11:PU95989 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

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

  • Original language description

    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 modifiedaccumulation 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.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    JC - Computer hardware and software

  • OECD FORD branch

Result continuities

  • Project

    Result was created during the realization of more than one project. More information in the Projects tab.

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>Z - Vyzkumny zamer (s odkazem do CEZ)

Others

  • Publication year

    2011

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Article name in the collection

    Proceedings of SCIA 2011, LNCS

  • ISBN

    978-3-642-21226-0

  • ISSN

  • e-ISSN

  • Number of pages

    9

  • Pages from-to

    784-793

  • Publisher name

    Springer Verlag

  • Place of publication

    Ystad

  • Event location

    Ystad Saltsjöbad

  • Event date

    May 23, 2011

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article