Apologies for Cross-posts
**** NB THURSDAY not a Friday this time ;-) ***
Koji Koyamada Visualization Laboratory,
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.
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Research
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