Název:	Zero variance importance sampling driven potential tracing algorithm for global ilumination
Autoři:	Xu, Qing Sun, Jizhou Wei, Zunce Shu, Yantai Messelodi, Stefano Cai, Jing
Citace zdrojového dokumentu:	Journal of WSCG. 2001, vol. 9, no. 1-3.
Datum vydání:	2001
Nakladatel:	Václav Skala - UNION Agency
Typ dokumentu:	článek article
URI:	http://hdl.handle.net/11025/15754 http://wscg.zcu.cz/wscg2001/WSCG2001_Program.htm
ISSN:	1213-6972 (print) 1213-6980 (CD-ROM) 1213-6964 (online)
Klíčová slova:	globální osvětlení;Monte Carlo;nulový rozptyl;náhodná chůze
Klíčová slova v dalším jazyce:	global illumination;Monte Carlo;zero variance importance sampling;random walk
Abstrakt v dalším jazyce:	This paper presents a novel Monte Carlo strategy for solving the global ilumination problem. The unusual Monte Carlo approach is different from the one, which is utilized widely in prevalent global illumination algorithms at present, and breaks a new Monte Carlo path for settling the problem. In this way, plenty of unbiased estimators can be employed to enrich the solutions so as to lead to simple error control, and also various variance reduction techniques can be applied conveniently to speed up the estimation at little additional cost. Especially, an implementation of a theoretically zero variance importance sampling driven potential algorithm on premise of the new scheme has been proposed and carried out. Results having been obtained and comparisons with traditional algorithms show that this new framework and new algorithm is very promising.
Práva:	© Václav Skala - UNION Agency
Vyskytuje se v kolekcích:	Volume 9, number 1-3 (2001)

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