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GPU-based hierarchical computations for view independent visibility

DSpace at IIT Bombay

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Title GPU-based hierarchical computations for view independent visibility
 
Creator GORADIA, RHUSHABH
AJMERA, PREKSHU
SHARAT CHANDRAN
 
Subject computer graphic equipment
rendering (computer graphics)
computer vision
imaging systems
 
Description With rapid improvements in the performance and programmability, graphics processing units (GPUs) have fostered considerable interest in substantially reducing the running time of compute intensive problems. The solution to the view-independent mutual point-pair visibility problem (required for inter-reflections in global illumination) can, it would seem, require the capabilities of the GPUs. In this paper, various ways of parallelizing the construction of the visibility map (V-map, a description of mutual visibility) are presented to lead the way for an implementation that achieves a speedup of 11 or more. We evaluate our scheme qualitatively and quantitatively, and conclude that parallelizing the V-map construction algorithm is eminently useful.
 
Publisher IEEE
 
Date 2009-10-12T04:16:19Z
2011-11-28T09:07:06Z
2011-12-15T09:58:04Z
2009-10-12T04:16:19Z
2011-11-28T09:07:06Z
2011-12-15T09:58:04Z
2008
 
Type Article
 
Identifier Proceedings of the Sixth Indian Conference on Computer Vision, Graphics & Image Processing, Bhubaneswar, India, 16-19 December 2008, 560-567
978-0-7695-3476-3
10.1109/ICVGIP.2008.87
http://hdl.handle.net/10054/1708
http://dspace.library.iitb.ac.in/xmlui/handle/10054/1708
 
Language en