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dc.contributor.authorSousa, Mario Costaen_US
dc.contributor.authorGooch, Amy Ashursten_US
dc.contributor.authorGooch, Bruceen_US
dc.contributor.editorLaszlo Neumann and Mateu Sbert and Bruce Gooch and Werner Purgathoferen_US
dc.date.accessioned2013-10-22T07:40:20Z
dc.date.available2013-10-22T07:40:20Z
dc.date.issued2005en_US
dc.identifier.isbn3-905673-27-4en_US
dc.identifier.issn1816-0859en_US
dc.identifier.urihttp://dx.doi.org/10.2312/COMPAESTH/COMPAESTH05/057-065en_US
dc.description.abstractCurrent scientific visualization techniques create complex images that may be difficult to interpret and do not have the expressiveness of illustrations. Incorporating traditional scientific illustration techniques into a visualization system enables artists and non-artists to harnesses the power of traditional illustration techniques when visually representing scientific data. In this paper we present an illustrative scientific visualization framework incorporating general illustration principles, as well as techniques and aesthetics of various styles. Such a framework provides a basic foundation for categorizing and communicating research and may stimulate future illustrative visualization systems.en_US
dc.publisherThe Eurographics Associationen_US
dc.subjectCategories and Subject Descriptors (according to ACM CCS): I.3.6 [Computer Graphics]: Methodology and Techniquesen_US
dc.titleIllustrative Scientific Visualization Frameworken_US
dc.description.seriesinformationComputational Aesthetics in Graphics, Visualization and Imagingen_US


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