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		<citationkey>AndersonCalSchSchSil:2007:HaPoVo</citationkey>
		<author>Anderson, Erik W.,</author>
		<author>Callahan, Steven P.,</author>
		<author>Scheidegger, Carlos E.,</author>
		<author>Schreiner, John M.,</author>
		<author>Silva, Claudio T.,</author>
		<affiliation>Scientific Computing and Imaging Institute, University of Utah</affiliation>
		<affiliation>Scientific Computing and Imaging Institute, University of Utah</affiliation>
		<affiliation>Scientific Computing and Imaging Institute, University of Utah</affiliation>
		<affiliation>Scientific Computing and Imaging Institute, University of Utah</affiliation>
		<affiliation>Scientific Computing and Imaging Institute, University of Utah</affiliation>
		<title>Hardware-Assisted Point-Based Volume Rendering of Tetrahedral Meshes</title>
		<conferencename>Brazilian Symposium on Computer Graphics and Image Processing, 20 (SIBGRAPI)</conferencename>
		<year>2007</year>
		<editor>Falcão, Alexandre Xavier,</editor>
		<editor>Lopes, Hélio Côrtes Vieira,</editor>
		<booktitle>Proceedings</booktitle>
		<date>Oct. 7-10, 2007</date>
		<publisheraddress>Los Alamitos</publisheraddress>
		<publisher>IEEE Computer Society</publisher>
		<conferencelocation>Belo Horizonte</conferencelocation>
		<keywords>Volume Rendering.</keywords>
		<abstract>Unstructured volume grids are ubiquitous in scientific computing, and have received substantial interest from the scientific visualization community.  In this paper, we take a point-based approach to rendering unstructured grids. In particular, we present a novel method of approximating these irregular elements with point-based primitives amenable to existing hardware acceleration techniques.  To improve interactivity to large datasets, we have adapted a level-of-detail strategy.  We use a well-known quantitative metric to analyze the image quality achieved by the final rendering.</abstract>
		<language>en</language>
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