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dc.contributor.authorBornik, Alexander
dc.contributor.authorKnecht, Wolfgang
dc.contributor.authorHadwiger, Markus
dc.contributor.authorSchmalstieg, Dieter
dc.date.accessioned2015-08-04T07:02:26Z
dc.date.available2015-08-04T07:02:26Z
dc.date.issued2012
dc.identifier.isbn9783642331787
dc.identifier.issn03029743
dc.identifier.doi10.1007/978-3-642-33179-4_31
dc.identifier.urihttp://hdl.handle.net/10754/564494
dc.description.abstractThis paper presents a hardware-accelerated approach for shadow computation in scenes containing both complex volumetric objects and polyhedral models. Our system is the first hardware accelerated complete implementation of deep shadow maps, which unifies the computation of volumetric and geometric shadows. Up to now such unified computation was limited to software-only rendering . Previous hardware accelerated techniques can handle only geometric or only volumetric scenes - both resulting in the loss of important properties of the original concept. Our approach supports interactive rendering of polyhedrally bounded volumetric objects on the GPU based on ray casting. The ray casting can be conveniently used for both the shadow map computation and the rendering. We show how anti-aliased high-quality shadows are feasible in scenes composed of multiple overlapping translucent objects, and how sparse scenes can be handled efficiently using clustered deep shadow maps. © 2012 Springer-Verlag.
dc.publisherSpringer Nature
dc.titleClustered deep shadow maps for integrated polyhedral and volume rendering
dc.typeConference Paper
dc.contributor.departmentComputer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
dc.contributor.departmentComputer Science Program
dc.contributor.departmentVisual Computing Center (VCC)
dc.identifier.journalLecture Notes in Computer Science
dc.conference.date16 July 2012 through 18 July 2012
dc.conference.name8th International Symposium on Visual Computing, ISVC 2012
dc.conference.locationRethymnon, Crete
dc.contributor.institutionLudwig Boltzmann Institute, Clinical-Forensic Imaging (CFI), Graz, Austria
dc.contributor.institutionVienna University of Technology, Vienna, Austria
dc.contributor.institutionGraz University of Technology, Graz, Austria
kaust.personHadwiger, Markus


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