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		<identifier>8JMKD3MGPBW34M/3EEM22L</identifier>
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		<citationkey>AguiarCostJúniVill:2013:CaStHu</citationkey>
		<author>Aguiar, Edilson de,</author>
		<author>Costalonga, Leandro Lesqueves,</author>
		<author>Júnior, Luís Otávio Rigo,</author>
		<author>Villaça, Rodolfo da Silva,</author>
		<affiliation>DCEL / CEUNES / UFES</affiliation>
		<affiliation>DCEL / CEUNES / UFES</affiliation>
		<affiliation>DCEL / CEUNES / UFES</affiliation>
		<affiliation>DCEL / CEUNES / UFES</affiliation>
		<title>Capture and Stylization of Human Models</title>
		<conferencename>Conference on Graphics, Patterns and Images, 26 (SIBGRAPI)</conferencename>
		<year>2013</year>
		<editor>Boyer, Kim,</editor>
		<editor>Hirata, Nina,</editor>
		<editor>Nedel, Luciana,</editor>
		<editor>Silva, Claudio,</editor>
		<booktitle>Proceedings</booktitle>
		<date>Aug. 5-8, 2013</date>
		<publisheraddress>Los Alamitos</publisheraddress>
		<publisher>IEEE Computer Society</publisher>
		<conferencelocation>Arequipa, Peru</conferencelocation>
		<keywords>morphable model, customized models, stylization, animation.</keywords>
		<abstract>Capturing and creating models of human subjects is an ongoing effort in computer graphics. In this paper, we present a framework to capture, model, simplify, and stylize an human subject. We use a consumer 3D depth camera that captures the appearance, shape, and pose of the recorded person. We then fit this data with a parametric human model that is based on 3D scans available from the CAESAR database. Once we have a personalized 3D human model, we can apply stylization techniques to create a variety of outputs. We present several results obtained with our framework and verify that these models remain recognizable as their human sources.</abstract>
		<language>en</language>
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		<e-mailaddress>edilson@europe.com</e-mailaddress>
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