About: Real-Time Detection of Lines using Parallel Coordinates and OpenGL

Facets (new session)
Description
Metadata
Settings
- owl:sameAs
- Inference Rule:

About: Real-Time Detection of Lines using Parallel Coordinates and OpenGL Goto Sponge NotDistinct Permalink

An Entity of Type : http://linked.opendata.cz/ontology/domain/vavai/Vysledek, within Data Space : linked.opendata.cz associated with source document(s)

Attributes	Values
rdf:type	skos:Concept http://linked.opendata.cz/ontology/domain/vavai/Vysledek
Description	Line detection in raster images is frequently performed using the Hough Transform. Hough Transform for line detection is difficult to accelerate using the GPU because it essentially requires rasterization of sinusoids into a highresolution raster of accumulators, which is not a suitable task for GPU. This paper presents a GPU implementation of the PClines - a new parameterization of lines for the Hough Transform. PClines are a point-to-line-mapping and thus the detection of lines uses the graphics processor to rasterize lines into a rectangular frame buffer which is a task very natural and effective on the GPU. The OpenGL 3.3 pipeline is used to efficiently perform the whole of the PClines-based Hough Transform on the GPU. Experimental evaluation shows that even for high-resolution input images with complicated content, the line detector performs easily in real time, which allows for different practical applications. Line detection in raster images is frequently performed using the Hough Transform. Hough Transform for line detection is difficult to accelerate using the GPU because it essentially requires rasterization of sinusoids into a highresolution raster of accumulators, which is not a suitable task for GPU. This paper presents a GPU implementation of the PClines - a new parameterization of lines for the Hough Transform. PClines are a point-to-line-mapping and thus the detection of lines uses the graphics processor to rasterize lines into a rectangular frame buffer which is a task very natural and effective on the GPU. The OpenGL 3.3 pipeline is used to efficiently perform the whole of the PClines-based Hough Transform on the GPU. Experimental evaluation shows that even for high-resolution input images with complicated content, the line detector performs easily in real time, which allows for different practical applications. (en)
Title	Real-Time Detection of Lines using Parallel Coordinates and OpenGL Real-Time Detection of Lines using Parallel Coordinates and OpenGL (en)
skos:prefLabel	Real-Time Detection of Lines using Parallel Coordinates and OpenGL Real-Time Detection of Lines using Parallel Coordinates and OpenGL (en)
skos:notation	RIV/00216305:26230/11:PU96101!RIV12-MSM-26230___
http://linked.open...avai/predkladatel	Fakulta informačních technologií
http://linked.open...avai/riv/aktivita	P Z
http://linked.open...avai/riv/aktivity	P(7H10014), Z(MSM0021630528)
http://linked.open...vai/riv/dodaniDat	2012
http://linked.open...aciTvurceVysledku	Herout, Adam Havel, Jiří Dubská, Markéta
http://linked.open.../riv/druhVysledku	D - Článek ve sborníku
http://linked.open...iv/duvernostUdaju	S - Úplné a pravdivé údaje nepodléhající ochraně podle zvláštních právních předpisů
http://linked.open...titaPredkladatele	Vysoké učení technické v Brně / Fakulta informačních technologií
http://linked.open...dnocenehoVysledku	225857
http://linked.open...ai/riv/idVysledku	RIV/00216305:26230/11:PU96101
http://linked.open...riv/jazykVysledku	eng - angličtina
http://linked.open.../riv/klicovaSlova	Hough Transform, Parallel Coordinates, OpenGL, Line Detection, PClines (en)
http://linked.open.../riv/klicoveSlovo	Line Detection PClines Parallel Coordinates Hough Transform OpenGL
http://linked.open...ontrolniKodProRIV	[368E936F5C2B]
http://linked.open...v/mistoKonaniAkce	Viničné
http://linked.open...i/riv/mistoVydani	Bratislava
http://linked.open...i/riv/nazevZdroje	Proceedings of SCCG 2011
http://linked.open...in/vavai/riv/obor	JC
http://linked.open...ichTvurcuVysledku	3 (xsd:int)
http://linked.open...cetTvurcuVysledku	3 (xsd:int)
http://linked.open...vavai/riv/projekt	Smart Multicore Embedded SYstems
http://linked.open...UplatneniVysledku	2011
http://linked.open...iv/tvurceVysledku	Havel, Jiří Herout, Adam Dubská, Markéta
http://linked.open...vavai/riv/typAkce	EUR - Evropská
http://linked.open.../riv/zahajeniAkce	2011-04-28 (xsd:date)
http://linked.open...n/vavai/riv/zamer	Výzkum informačních technologií z hlediska bezpečnosti
number of pages	7 (xsd:int)
http://purl.org/ne...btex#hasPublisher	Univerzita Komenského v Bratislave
https://schema.org/isbn	978-80-223-3018-3
http://localhost/t...ganizacniJednotka	26230
is http://linked.open...avai/riv/vysledek of	Real-Time Detection of Lines using Parallel Coordinates and OpenGL Real-Time Detection of Lines using Parallel Coordinates and OpenGL

Faceted Search & Find service v1.16.118 as of Jun 21 2024

Alternative Linked Data Documents: ODE Content Formats:

RDF

ODATA

Microdata

About

OpenLink Virtuoso version 07.20.3240 as of Jun 21 2024, on Linux (x86_64-pc-linux-gnu), Single-Server Edition (126 GB total memory, 112 GB memory in use)
Data on this page belongs to its respective rights holders.
Virtuoso Faceted Browser Copyright © 2009-2024 OpenLink Software