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		<doi>10.1109/SIBGRAPI.2008.18</doi>
		<citationkey>JeppDenzWyviSous:2008:UsMuSy</citationkey>
		<title>Using Multi-Agent Systems for Sampling and Rendering Implicit Surfaces</title>
		<format>Printed, On-line.</format>
		<year>2008</year>
		<numberoffiles>1</numberoffiles>
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		<author>Jepp, Pauline,</author>
		<author>Denzinger, Joerg,</author>
		<author>Wyvill, Brian,</author>
		<author>Sousa, Mario Costa,</author>
		<affiliation>INESC-ID</affiliation>
		<affiliation>University of Calgary</affiliation>
		<affiliation>University of Victoria</affiliation>
		<affiliation>University of Calgary</affiliation>
		<editor>Jung, Cláudio Rosito,</editor>
		<editor>Walter, Marcelo,</editor>
		<conferencename>Brazilian Symposium on Computer Graphics and Image Processing, 21 (SIBGRAPI)</conferencename>
		<conferencelocation>Campo Grande, MS, Brazil</conferencelocation>
		<date>12-15 Oct. 2008</date>
		<publisher>IEEE Computer Society</publisher>
		<publisheraddress>Los Alamitos</publisheraddress>
		<booktitle>Proceedings</booktitle>
		<tertiarytype>Full Paper</tertiarytype>
		<transferableflag>1</transferableflag>
		<versiontype>finaldraft</versiontype>
		<keywords>Implicit Surfaces, NonPhotorealistic Rendering, Multi-Agent Systems.</keywords>
		<abstract>In this paper a Multi-Agent System for Sampling and Rendering Implicit Surfaces is presented (MASSRIS).  Previous approaches to pen-and-ink style renderings of implicit surfaces were based on particle systems, which, for a complex surface, are slow to achieve a good distribution of particles and subsequently to trace features. The method proposed in this research extends traditional particles into semi-autonomous agents that sample the implicit model and illustrate surface features.  Agents use goal directed behaviours to achieve a good coverage of surface strokes and feature outline identification faster than with previous particle-based methods. .</abstract>
		<language>en</language>
		<targetfile>JeppP_MASSRIS.pdf</targetfile>
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