The simulation of light transport often involves specular and transmissive surfaces, which are modeled by functions that are not square integrable. However, in many practical cases unbiased Monte Carlo methods are not able to handle such functions efficiently and consistent Monte Carlo methods are applied. Based on quasi-Monte Carlo integration, a deterministic alternative to the stochastic approaches is introduced. The new method for deterministic consistent functional approximation uses deterministic consistent density estimation. © Springer-Verlag Berlin Heidelberg 2012.
CITATION STYLE
Keller, A., Grünschloß, L., & Droske, M. (2012). Quasi-Monte Carlo Progressive Photon Mapping. In Springer Proceedings in Mathematics and Statistics (Vol. 23, pp. 499–509). Springer New York LLC. https://doi.org/10.1007/978-3-642-27440-4_28
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