Apologies for Cross-posts

**** NB THURSDAY not a Friday this time ;-) ***



Koji Koyamada Visualization Laboratory, Kyoto University "A stochastic approach 
for rendering irregular volumes" Thursday 3rd April 2008, 2-3pm Room 1.10, 
Kilburn Building, University of Manchester 
www.manchester.siggraph.org<http://www.manchester.siggraph.org/>



In this talk, we describe a stochastic approach for rendering irregular volume 
datasets. It is well known that the memory bandwidth consumed by visibility 
sorting becomes the limiting factor when carrying out volume rendering of large 
irregular volume datasets. Previous techniques without visibility sorting 
ignored absorption or emission effect in their optical models. To solve the 
problem, our technique represents a given irregular volume dataset as a set of 
opaque, emissive particles whose size is sufficiently small with respect to the 
pixel size. We applied our proposed technique to a volume composed of about 1G 
tetrahedral cells to confirm its effectiveness.



Access Grid Information

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Virtual venue: University of Manchester (1.10)

Jabber room: uom1...@conference.mcs.anl.gov

IGPix: roberts.agsc.man.ac.uk/igpix/uom110 (although more likely to use 
screenstreamer - works well now)



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http://www.rcs.manchester.ac.uk/research/seminars/







Martin J. Turner, Visualization Team Leader

Research Computing Services
The University of Manchester
Kilburn Building, Oxford Road
Manchester, M13 9PL UK

t :  +44 (0) 161 275 0613
m :  +44 (0) 7990 918 509
e :  martin.tur...@manchester.ac.uk<mailto:martin.tur...@manchester.ac.uk>
w :  
www.manchester.ac.uk/researchcomputing<http://www.manchester.ac.uk/researchcomputing>





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