Improving robustness of Monte-Carlo global illumination with directional regularization

Authors:
Guillaume Bouchard;Jean-Claude Iehl;Victor Ostromoukhov;Pierre Poulin
Affiliations:
Université Lyon, LIRIS, France and Université de Montréal;Université Lyon, LIRIS, France;Université Lyon, LIRIS, France;Université de Montréal
Venue:
SIGGRAPH Asia 2013 Technical Briefs
Year:
2013

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Abstract

Directional regularization offers great potential to improve the convergence rates of Monte-Carlo-based global illumination algorithms. In this paper, we show how it can be applied successfully by combining unbiased bidirectional strategies, photon mapping, and biased directional regularization.