Mixing Monte Carlo and Progressive Rendering for Improved Global Illumination

Ian C. Doidge, Mark W. Jones and Ben Mora

Abstract

In this paper we seek to eliminate the noise caused by caustic paths during progressive Monte Carlo path tracing. We employ a filtering strategy over path space, handling each subspace using specialised derivations of path tracing and progressive photon mapping. Evaluating diffuse paths with path tracing allows the use of sample stratification over both pixels and the image as a whole, whilst sharp detailed caustics are produced using progressive photon mapping. This is an efficient, low noise progressive algorithm with vanishing bias combining the advantages of both Monte Carlo methods, and particle tracing.

Source Materials

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DOI

10.1007/s00371-012-0703-2
https://dx.doi.org/10.1007/s00371-012-0703-2

Citation

I. Doidge, M. W. Jones, and B. Mora, Mixing Monte Carlo and Progressive Rendering for Improved Global Illumination, CGI 2012, The Visual Computer 28(6-8), 603-612, 2012

Bibtex

@ARTICLE{MC_and_PPM,
	author = {Ian Doidge and Mark W. Jones and Benjamin Mora},
	title = {Mixing Monte Carlo and Progressive Rendering for Improved Global Illumination},
	journal = {The Visual Computer},
	year = {2012},
	volume = {28},
	pages = {603--612},
	number = {6--8},
	month = {June},
	doi = {10.1007/s00371-012-0703-2},
	issn = {0178-2789},
	pdfurl = {http://cs.swan.ac.uk/~csmark/PDFS/2012_CGI.pdf},
	url = {http://cs.swan.ac.uk/%7Ecsmark/PDFS/2012_CGI.pdf},
	date={2012-06-12},
}