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DC poleHodnotaJazyk
dc.contributor.authorSchedl, David C.
dc.contributor.authorWimmer, Michael
dc.contributor.editorSkala, Václav
dc.date.accessioned2013-02-05T12:53:00Z
dc.date.available2013-02-05T12:53:00Z
dc.date.issued2012
dc.identifier.citationJournal of WSCG. 2012, vol. 20, no. 3, p. 239-246.en
dc.identifier.issn1213–6972 (hardcopy)
dc.identifier.issn1213–6980 (CD-ROM)
dc.identifier.issn1213–6964 (on-line)
dc.identifier.urihttp://wscg.zcu.cz/WSCG2012/!_2012-Journal-Full-3.pdf
dc.identifier.urihttp://hdl.handle.net/11025/1086
dc.description.abstractDepth of field (DoF) represents a distance range around a focal plane, where objects on an image are crisp. DoF is one of the effects which significantly contributes to the photorealism of images and therefore is often simulated in rendered images. Various methods for simulating DoF have been proposed so far, but little tackle the issue of partial occlusion: Blurry objects near the camera are semi-transparent and result in partially visible background objects. This effect is strongly apparent in miniature and macro photography. In this work a DoF method is presented which simulates partial occlusion. The contribution of this work is a layered method where the scene is rendered into layers. Blurring is done efficiently with recursive Gaussian filters. Due to the usage of Gaussian filters big artifact-free blurring radii can be simulated at reasonable costs.en
dc.format8 s., indexcs
dc.format.mimetypeapplication/pdf
dc.language.isoenen
dc.publisherVáclav Skala - UNION Agencycs
dc.relation.ispartofseriesJournal of WSCGen
dc.rights© Václav Skala - UNION Agencycs
dc.subjecthloubka polecs
dc.subjectvykreslovánícs
dc.subjectčástečná okluzecs
dc.titleA layered depth-of-field method for solving partial occlusionen
dc.typečlánekcs
dc.typearticleen
dc.rights.accessopenAccessen
dc.type.versionpublishedVersionen
dc.subject.translateddepth of fielden
dc.subject.translatedrenderingen
dc.subject.translatedpartial occlusionen
dc.type.statusPeer-revieweden
Vyskytuje se v kolekcích:Number 3 (2012)

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