Optimal Combination of Techniques in Multiple Importance Sampling

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F14%3A00221438" target="_blank" >RIV/68407700:21230/14:00221438 - isvavai.cz</a>
Result on the web
<a href="http://dcgi.felk.cvut.cz/en/publications/techreps" target="_blank" >http://dcgi.felk.cvut.cz/en/publications/techreps</a>
DOI - Digital Object Identifier
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Result language
angličtina
Original language name
Optimal Combination of Techniques in Multiple Importance Sampling
Original language description
Since its introduction by Veach, the Multiple Importance Sampling (MIS) technique has been widely used in Computer Graphics in many rendering algorithms. MIS is based on weighting several sampling techniques into a single estimator. When the mixing weights are taken such that the sample contributions are balanced, i.e. they are the same for all techniques, it becomes a balance heuristic. It has been used since its invention almost exclusively on equal sampling for all techniques, and until now the question whether unequal sampling can give better variance, has raised little interest, maybe due to its intrinsic difficulty and also due to the fact that good results were already obtained with equal sampling. The most interesting cases of the use of MIS inComputer Graphics, where an environment map is a particular case, correspond to the integral of the product of the functions. Based on the properties of the balance heuristic MIS as a weighted mixture of distributions, weights proportion
Czech name
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Czech description
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Project
Result was created during the realization of more than one project. More information in the Projects tab.
Continuities
S - Specificky vyzkum na vysokych skolach

Publication year
2014
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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