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dc.contributor.authorParulek, Juliuseng
dc.contributor.authorJönsson, Danieleng
dc.contributor.authorRopinski, Timoeng
dc.contributor.authorBruckner, Stefaneng
dc.contributor.authorYnnerman, Anderseng
dc.contributor.authorViola, Ivaneng
dc.date.accessioned2014-12-09T08:07:21Zen_US
dc.date.accessioned2014-12-09T08:36:29Zen_US
dc.date.accessioned2014-12-10T09:29:59Z
dc.date.available2014-12-10T09:29:59Z
dc.date.issued2014-05-06eng
dc.identifier.issn1467-8659en_US
dc.identifier.urihttps://hdl.handle.net/1956/8875
dc.description.abstractMolecular visualization is often challenged with rendering of large molecular structures in real time. We introduce a novel approach that enables us to show even large protein complexes. Our method is based on the level-of-detail concept, where we exploit three different abstractions combined in one visualization. Firstly, molecular surface abstraction exploits three different surfaces, solvent-excluded surface (SES), Gaussian kernels and van der Waals spheres, combined as one surface by linear interpolation. Secondly, we introduce three shading abstraction levels and a method for creating seamless transitions between these representations. The SES representation with full shading and added contours stands in focus while on the other side a sphere representation of a cluster of atoms with constant shading and without contours provide the context. Thirdly, we propose a hierarchical abstraction based on a set of clusters formed on molecular atoms. All three abstraction models are driven by one importance function classifying the scene into the near-, mid- and far-field. Moreover, we introduce a methodology to render the entire molecule directly using the A-buffer technique, which further improves the performance. The rendering performance is evaluated on series of molecules of varying atom counts.en_US
dc.language.isoengeng
dc.publisherWileyen_US
dc.rightsAttribution CC BYeng
dc.rights.urihttp://creativecommons.org/licenses/by/3.0/eng
dc.subjectlevel of detail algorithmseng
dc.subjectimplicit surfaceseng
dc.subjectclusteringeng
dc.subjectscientific visualizationeng
dc.titleContinuous Levels-of-Detail and Visual Abstraction for Seamless Molecular Visualizationen_US
dc.typePeer reviewed
dc.typeJournal article
dc.date.updated2014-12-09T08:07:22Zen_US
dc.description.versionpublishedVersionen_US
dc.rights.holderCopyright 2014 The Authorsen_US
dc.identifier.doihttps://doi.org/10.1111/cgf.12349
dc.identifier.cristin1178589
dc.source.journalComputer Graphics Forum
dc.source.4033
dc.source.146
dc.source.pagenumber276-287


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Attribution CC BY
Except where otherwise noted, this item's license is described as Attribution CC BY