Název: Go with the winners strategy in path tracing
Autoři: Szirmay-Kalos, László
György, Antal
Sbert, Mateu
Citace zdrojového dokumentu: Journal of WSCG. 2005, vol. 13, no. 2, p. 49-56.
Datum vydání: 2005
Nakladatel: Václav Skala - UNION Agency
Typ dokumentu: article
článek
URI: http://wscg.zcu.cz/WSCG2005/Papers_2005/Journal/!WSCG2005_Journal_Final.pdf
http://hdl.handle.net/11025/1454
ISSN: 1213–6964 (online)
1213–6980 (CD-ROM)
1213–6972 (hardcover)
Klíčová slova: globální osvětlení;náhodná procházka;Monte Carlo
Klíčová slova v dalším jazyce: global illumination;random walk;Monte Carlo
Abstrakt: This paper proposes a new random walk strategy that minimizes the variance of the estimate using statistical estimations of local and global features of the scene. Based on the local and global properties, the algorithm decides at each point whether a Russian-roulette like random termination is worth performing, or on the contrary, we should split the path into several child paths. In this sense the algorithm is similar to the go-with-the-winners strategy invented in general Monte Carlo context. However, instead of establishing thresholds to make decisions, we compute the number of child paths on a continuous level and show that Russian roulette can be interpreted as a kind of splitting using fractional number of children. The new method is built into a path tracing algorithm, and a minimum cost heuristic is proposed for choosing the number of rejected rays. Comparing it with the classical path tracing approach we concluded that the new method reduced the variance significantly.
Práva: © Václav Skala - UNION Agency
Vyskytuje se v kolekcích:Volume 13, Number 1-3 (2005)

Soubory připojené k záznamu:
Soubor Popis VelikostFormát 
Szirmay-Kalos.pdfPlný text223,78 kBAdobe PDFZobrazit/otevřít


Použijte tento identifikátor k citaci nebo jako odkaz na tento záznam: http://hdl.handle.net/11025/1454

Všechny záznamy v DSpace jsou chráněny autorskými právy, všechna práva vyhrazena.