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Reference TypeConference Proceedings
Sitesibgrapi.sid.inpe.br
Identifier8JMKD3MGPBW34M/3EEM22L
Repositorysid.inpe.br/sibgrapi/2013/07.12.01.51
Last Update2013:07.12.01.51.04 edilson@europe.com
Metadatasid.inpe.br/sibgrapi/2013/07.12.01.51.04
Metadata Last Update2020:02.19.03.09.22 administrator
Citation KeyAguiarCostJúniVill:2013:CaStHu
TitleCapture and Stylization of Human Models
FormatOn-line.
Year2013
DateAug. 5-8, 2013
Access Date2020, Dec. 03
Number of Files1
Size11464 KiB
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Author1 Aguiar, Edilson de
2 Costalonga, Leandro Lesqueves
3 Júnior, Luís Otávio Rigo
4 Villaça, Rodolfo da Silva
Affiliation1 DCEL / CEUNES / UFES
2 DCEL / CEUNES / UFES
3 DCEL / CEUNES / UFES
4 DCEL / CEUNES / UFES
EditorBoyer, Kim
Hirata, Nina
Nedel, Luciana
Silva, Claudio
e-Mail Addressedilson@europe.com
Conference NameConference on Graphics, Patterns and Images, 26 (SIBGRAPI)
Conference LocationArequipa, Peru
Book TitleProceedings
PublisherIEEE Computer Society
Publisher CityLos Alamitos
History2013-07-12 01:51:04 :: edilson@europe.com -> administrator ::
2020-02-19 03:09:22 :: administrator -> :: 2013
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Is the master or a copy?is the master
Document Stagecompleted
Transferable1
Content TypeExternal Contribution
Tertiary TypeFull Paper
Keywordsmorphable model, customized models, stylization, animation.
AbstractCapturing 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.
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