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		<doi>10.1109/SIBGRAPI.2001.963076</doi>
		<citationkey>CostaBian:2001:InShEv</citationkey>
		<title>Inferring shape evolution</title>
		<year>2001</year>
		<numberoffiles>1</numberoffiles>
		<size>538 KiB</size>
		<author>Costa, Luciano da Fontoura,</author>
		<author>Bianchi, Andrea G. Campos,</author>
		<editor>Borges, Leandro Díbio,</editor>
		<editor>Wu, Shin-Ting,</editor>
		<conferencename>Brazilian Symposium on Computer Graphics and Image Processing, 14 (SIBGRAPI)</conferencename>
		<conferencelocation>Florianópolis, SC, Brazil</conferencelocation>
		<date>15-18 Oct. 2001</date>
		<publisher>IEEE Computer Society</publisher>
		<publisheraddress>Los Alamitos</publisheraddress>
		<pages>354-361</pages>
		<booktitle>Proceedings</booktitle>
		<tertiarytype>Full Paper</tertiarytype>
		<organization>SBC - Brazilian Computer Society</organization>
		<transferableflag>1</transferableflag>
		<versiontype>finaldraft</versiontype>
		<keywords>dynamic shapes, convolution, normal fields, estimation, growth processes, pattern formation.</keywords>
		<abstract>Dynamic shapes, namely shapes that change with time, represent an important issue in several scientific and technological contexts. The current article presents a model-based mathematic-computational approach for inferring the processes governing some of the most representative types of shape evolution. The considered models include functional mappings, convolution-based evolution and normal wavefront propagation. The methods are illustrated with respect to stationary (global) and non-stationary (local) dynamic evolutions, and the obtained results substantiate the potential of the presented methodology. Although concentrating on 2D shapes, the reported results can be extended to higher dimensional objects.</abstract>
		<language>en</language>
		<targetfile>354-361.pdf</targetfile>
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		<notes>The conference was held in Florianópolis, SC, Brazil, from October 15 to 18.</notes>
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		<url>http://sibgrapi.sid.inpe.br/rep-/sid.inpe.br/banon/2002/12.09.10.16</url>
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