Real-Time Detection of Lines using Parallel Coordinates and CUDA

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26230%2F14%3APU101887" target="_blank" >RIV/00216305:26230/14:PU101887 - isvavai.cz</a>

Výsledek na webu

<a href="http://dx.doi.org/10.1007/s11554-012-0303-4" target="_blank" >http://dx.doi.org/10.1007/s11554-012-0303-4</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1007/s11554-012-0303-4" target="_blank" >10.1007/s11554-012-0303-4</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Real-Time Detection of Lines using Parallel Coordinates and CUDA

Popis výsledku v původním jazyce

The 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, using a new parameterization of lines "PClines". This algorithm is suitable for computer systems with a small but fast read-write memory -- such as today's graphics processors. The algorithm requires no floating-point computations or goniometric functions. This makes it suitable for special and low-power processors and special-purpose chips. The proposed algorithm is evaluated both on synthetic binary images and on complex real-world photos of high resolutions.  The results show that by using today's commodity graphics chips, the Hough transform can be computed at interactive frame rates, even with a high resolution of the Hough space and with the Hough transform fully computed.

Název v anglickém jazyce

Real-Time Detection of Lines using Parallel Coordinates and CUDA

Popis výsledku anglicky

The 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, using a new parameterization of lines "PClines". This algorithm is suitable for computer systems with a small but fast read-write memory -- such as today's graphics processors. The algorithm requires no floating-point computations or goniometric functions. This makes it suitable for special and low-power processors and special-purpose chips. The proposed algorithm is evaluated both on synthetic binary images and on complex real-world photos of high resolutions.  The results show that by using today's commodity graphics chips, the Hough transform can be computed at interactive frame rates, even with a high resolution of the Hough space and with the Hough transform fully computed.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Projekt

Výsledek vznikl pri realizaci vícero projektů. Více informací v záložce Projekty.

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>Z - Vyzkumny zamer (s odkazem do CEZ)<br>S - Specificky vyzkum na vysokych skolach<br>I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2014

Kód důvěrnosti údajů

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

Název periodika

Journal of Real-Time Image Processing

ISSN

1861-8200

e-ISSN

1861-8219

Svazek periodika

2014

Číslo periodika v rámci svazku

9

Stát vydavatele periodika

DE - Spolková republika Německo

Počet stran výsledku

12

Strana od-do

205-216

Kód UT WoS článku

000331639800015

EID výsledku v databázi Scopus

2-s2.0-84897561597