Optimal Combination of Techniques in Multiple Importance Sampling

Kód výsledku v 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>

Výsledek na webu

<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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Jazyk výsledku

angličtina

Název v původním jazyce

Optimal Combination of Techniques in Multiple Importance Sampling

Popis výsledku v původním jazyce

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

Název v anglickém jazyce

Optimal Combination of Techniques in Multiple Importance Sampling

Popis výsledku anglicky

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

Druh

O - Ostatní výsledky

CEP obor

IN - Informatika

OECD FORD obor

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Projekt

Výsledek vznikl pri realizaci vícero projektů. Více informací v záložce Projekty.

Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2014

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů