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  Efficient Parallel Global Illumination using Density-Estimation (1995) [10 citations — 1 self]

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by David Zareski, Bretton Wade, Philip Hubbard, Peter Shirley
Proceedings of ACM Parallel Rendering Symposium, (Atlanta
http://www.graphics.cornell.edu/pubs/1995/ZWHS95.ps.gz
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Abstract:

This paper presents a multi-computer, parallel version of the recently-proposed "Density Estimation " (DE) global illumination method, designed for computing solutions of environments with high geometric complexity (as many as hundreds of thousands of initial surfaces). In addition to the diffuse inter-reflections commonly handled by conventional radiosity methods, this new method can also handle energy transport involving arbitrary non-diffuse surfaces. Output can either be Gouraud-shaded elements for interactive walkthroughs, or ray-traced images for higher quality still frames. The key difference of the DE algorithm from conventional radiosity, in terms of its ability to parallelize efficiently, is its microscopic view of energy transport, which avoids the O(n

Citations

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