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dc.contributor.authorXu, Qing
dc.contributor.authorSun, Jizhou
dc.contributor.authorWei, Zunce
dc.contributor.authorShu, Yantai
dc.contributor.authorMesselodi, Stefano
dc.contributor.authorCai, Jing
dc.contributor.editorSkala, Václav
dc.identifier.citationJournal of WSCG. 2001, vol. 9, no. 1-3.en
dc.identifier.issn1213-6972 (print)
dc.identifier.issn1213-6980 (CD-ROM)
dc.identifier.issn1213-6964 (online)
dc.format6 s.cs
dc.publisherVáclav Skala - UNION Agencycs
dc.relation.ispartofseriesJournal of WSCGen
dc.rights© Václav Skala - UNION Agencycs
dc.subjectglobální osvětlenícs
dc.subjectMonte Carlocs
dc.subjectnulový rozptylcs
dc.subjectnáhodná chůzecs
dc.titleZero variance importance sampling driven potential tracing algorithm for global iluminationen
dc.description.abstract-translatedThis 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.en
dc.subject.translatedglobal illuminationen
dc.subject.translatedMonte Carloen
dc.subject.translatedzero variance importance samplingen
dc.subject.translatedrandom walken
Appears in Collections:Volume 9, number 1-3 (2001)

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Please use this identifier to cite or link to this item: http://hdl.handle.net/11025/15754

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