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dc.contributor.authorNikodým, Tomáš
dc.contributor.authorHavran, Vlastmil
dc.contributor.authorBittner, Jiří
dc.contributor.editorSkala, Václav
dc.date.accessioned2014-01-31T09:25:47Z
dc.date.available2014-01-31T09:25:47Z
dc.date.issued2013
dc.identifier.citationJournal of WSCG. 2013, vol. 21, no. 2, p. 127-136.en
dc.identifier.issn1213-6972 (Hardcopy)
dc.identifier.issn1213–6980 (CD-ROM)
dc.identifier.issn1213–6964
dc.identifier.urihttp://wscg.zcu.cz/WSCG2013/!_2013_J_WSCG-2.pdf
dc.identifier.urihttp://hdl.handle.net/11025/6974
dc.description.abstractWe propose a framework that captures multiple high dynamic range environment maps and decomposes them into sets of directional light sources in real-time. The environment maps, captured and processed on stand-alone devices (e.g. Nokia N900 smartphone), are available to rendering engines via a server that provides wireless access. We compare three different importance sampling techniques in terms of the quality of sampling pattern, temporal coherence, and performance. Furthermore, we propose a novel idea of merging the directional light sources from multiple cameras by interpolation. We then discuss the pros and cons when using multiple cameras.en
dc.format10 s.
dc.format.mimetypeapplication/pdf
dc.language.isoenen
dc.publisherVáclav Skala - UNION Agencycs
dc.relation.ispartofseriesJournal of WSCGen
dc.rights© Václav Skala - UNION Agencycs
dc.subjectosvětlení založené na obrazechcs
dc.subjectrozšířená realitacs
dc.subjectvzorkovací algoritmycs
dc.titleMultiple Live Video Environment Map Samplingen
dc.typečlánekcs
dc.typearticleen
dc.rights.accessopenAccessen
dc.type.versionpublishedVersionen
dc.subject.translatedimage-based lightingen
dc.subject.translatedaugmented realityen
dc.subject.translatedsampling algorithmsen
dc.type.statusPeer-revieweden
Appears in Collections:Volume 21, Number 2 (2013)

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