DC FieldValueLanguage
dc.contributor.authorCelarek, Adam-
dc.contributor.authorWenzel, Jakob-
dc.contributor.authorWimmer, Michael-
dc.contributor.authorLehtinen, Jaakko-
dc.date.accessioned2020-10-20T16:14:23Z-
dc.date.available2020-10-20T16:14:23Z-
dc.date.issued2019-07-30-
dc.identifier.issn0167-7055-
dc.identifier.urihttp://hdl.handle.net/20.500.12708/15941-
dc.description.abstractThis paper proposes a new methodology for measuring the error of unbiased physically based rendering algorithms. The current state of the art includes mean squared error (MSE) based metrics and visual comparisons of equal‐time renderings of competing algorithms. Neither is satisfying as MSE does not describe behavior and can exhibit significant variance, and visual comparisons are inherently subjective. Our contribution is two‐fold: First, we propose to compute many short renderings instead of a single long run and use the short renderings to estimate MSE expectation and variance as well as per‐pixel standard deviation. An algorithm that achieves good results in most runs, but with occasional outliers is essentially unreliable, which we wish to quantify numerically. We use per‐pixel standard deviation to identify problematic lighting effects of rendering algorithms. The second contribution is the error spectrum ensemble (ESE), a tool for measuring the distribution of error over frequencies. The ESE serves two purposes: It reveals correlation between pixels and can be used to detect outliers, which offset the amount of error substantially.en
dc.description.sponsorshipAcademy of Finland-
dc.description.sponsorshipHorizon 2020-
dc.language.isoen-
dc.publisherWILEY-
dc.relation.ispartofComputer Graphics Forum-
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/-
dc.subjectRenderingen
dc.subjectError Metricen
dc.subjectMonte Carloen
dc.subjectMarkov Chain Monte Carloen
dc.titleQuantifying the Error of Light Transport Algorithmsen
dc.typeArticleen
dc.typeArtikelde
dc.rights.licenseCreative Commons Namensnennung 4.0 Internationalde
dc.rights.licenseCreative Commons Attribution 4.0 Internationalen
dc.contributor.affiliationÉcole Polytechnique Fédérale de Lausanne (EPFL), Switzerland-
dc.contributor.affiliationAalto University, Finland-
dc.description.startpage111-
dc.description.endpage121-
dc.relation.grantno277833-
dc.relation.grantno813170-
dcterms.dateSubmitted2019-
dc.type.categoryOriginal Research Article-
tuw.container.volume38-
tuw.container.issue4-
tuw.journal.peerreviewedtrue-
tuw.peerreviewedtrue-
tuw.versionvor-
wb.publication.intCoWorkInternational Co-publication-
tuw.project.titleAdvanced Visual and Geometric Computing for 3D Capture, Display, and Fabrication-
tuw.linkinghttps://www.cg.tuwien.ac.at/research/publications/2019/celarek_adam-2019-qelta/-
dcterms.isPartOf.titleComputer Graphics Forum-
tuw.publication.orgunitE193-02 - Forschungsbereich Computer Graphics-
tuw.publisher.doi10.1111/cgf.13775-
dc.date.onlinefirst2019-07-30-
dc.identifier.eissn1467-8659-
dc.description.numberOfPages11-
tuw.author.orcid0000-0002-9370-2663-
dc.rights.identifierCC BY 4.0de
dc.rights.identifierCC BY 4.0en
item.grantfulltextopen-
item.cerifentitytypePublications-
item.cerifentitytypePublications-
item.openairetypeArticle-
item.openairetypeArtikel-
item.languageiso639-1en-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.fulltextwith Fulltext-
crisitem.author.deptÉcole Polytechnique Fédérale de Lausanne (EPFL), Switzerland-
crisitem.author.deptAalto University, Finland-
crisitem.author.orcid0000-0002-9370-2663-
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