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dc.contributor.authorXu, Huien_US
dc.contributor.authorGossett, Nathanen_US
dc.contributor.authorChen, Baoquanen_US
dc.contributor.editorLaszlo Neumann and Mateu Sbert and Bruce Gooch and Werner Purgathoferen_US
dc.date.accessioned2013-10-22T07:40:19Z
dc.date.available2013-10-22T07:40:19Z
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/COMPAESTH05/019-027en_US
dc.description.abstractThis paper describes various techniques and applications of rendering three-dimensionally digitized outdoor en- vironments in non-photorealistic rendering styles. The difficulty in rendering outdoor environments is accommodating their inaccuracy, incompleteness, and large size to deliver a smooth animation without suggesting the underlying data deficiency. Standard rendering approaches often expose and inadvertently emphasize missing and noisy data, producing unpleasant images. Our use of non-photorealistic rendering allows us to de-emphasize these problems and produce aesthetically pleasing images. The key approach discussed in this paper employs artistic drawing techniques to illustrate features of varying importance and accuracy. We use point-based representations of the scanned environments and operate directly on the point-based models for abstraction and rendering. We de- velop a unified framework for producing sketchy, profile, painterly, cartoon, and intermingled styles. We describe a level-of-detail data structure, the continuous resolution queue, to promise coherent and consistent animation. We also leverage modern graphics hardware to achieve interactive rendering of large scenes.en_US
dc.publisherThe Eurographics Associationen_US
dc.subjectCategories and Subject Descriptors (according to ACM CCS): I.3.0 [COMPUTER GRAPHICS]: General I.3.3 [COMPUTER GRAPHICS]: Picture/Image Generation[Digitizing and scanning]en_US
dc.titleAbstraction and Depiction of Sparsely Scanned Outdoor Environmentsen_US
dc.description.seriesinformationComputational Aesthetics in Graphics, Visualization and Imagingen_US


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