Conference paper

DUBSKÁ Markéta, HAVEL Jiří and HEROUT Adam. Real-Time Detection of Lines using Parallel Coordinates and OpenGL. In: Proceedings of SCCG 2011. Bratislava: Comenius University in Bratislava, 2011, p. 7. ISBN 978-80-223-3018-3.
Publication language:english
Original title:Real-Time Detection of Lines using Parallel Coordinates and OpenGL
Title (cs):Detekce čar v reálném čase pomocí paralelních souřadnic a OpenGL
Proceedings:Proceedings of SCCG 2011
Conference:Spring Conference on Computer Graphics 2011
Place:Bratislava, SK
Publisher:Comenius University in Bratislava
Hough Transform, Parallel Coordinates, OpenGL, Line Detection, PClines
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.
   author = {Mark{\'{e}}ta Dubsk{\'{a}} and Ji{\v{r}}{\'{i}} Havel and
	Adam Herout},
   title = {Real-Time Detection of Lines using Parallel Coordinates and
   pages = {7},
   booktitle = {Proceedings of SCCG 2011},
   year = {2011},
   location = {Bratislava, SK},
   publisher = {Comenius University in Bratislava},
   ISBN = {978-80-223-3018-3},
   language = {english},
   url = {}

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