Identity statement area
Reference TypeConference Paper (Conference Proceedings)
Last Update2007: administrator
Metadata Last Update2020: administrator
Citation KeyAguiarZayTheMagSei:2007:SiFrNa
TitleA Simple Framework for Natural Animation of Digitized Models
FormatPrinted, On-line.
DateOct. 7-10, 2007
Access Date2021, Jan. 19
Number of Files1
Size583 KiB
Context area
Author1 de Aguiar, Edilson
2 Zayer, Rhaleb
3 Theobalt, Christian
4 Magnor, Marcus
5 Seidel, Hans-Peter
Affiliation1 Max-Planck-Institut fuer Informatik
2 Max-Planck-Institut fuer Informatik
3 Max-Planck-Institut fuer Informatik
4 Technical University Braunschweig
5 Max-Planck-Institut fuer Informatik
EditorFalcão, Alexandre Xavier
Lopes, Hélio Côrtes Vieira
Conference NameBrazilian Symposium on Computer Graphics and Image Processing, 20 (SIBGRAPI)
Conference LocationBelo Horizonte
Book TitleProceedings
PublisherIEEE Computer Society
Publisher CityLos Alamitos
Tertiary TypeFull Paper
History2007-07-13 16:36:08 :: -> administrator ::
2007-08-02 21:17:20 :: administrator -> ::
2008-07-17 14:09:42 :: -> administrator ::
2009-08-13 20:38:19 :: administrator -> banon ::
2010-08-28 20:02:26 :: banon -> administrator ::
2020-02-19 03:06:18 :: administrator -> :: 2007
Content and structure area
Is the master or a copy?is the master
Content Stagecompleted
Content TypeExternal Contribution
KeywordsAnimation, mesh deformation, deformation transfer.
AbstractWe present a versatile, fast and simple framework to generate animations of scanned human characters from input optical motion capture data. Our method is purely mesh-based and requires only a minimum of manual interaction. The only manual step needed to create moving virtual people is the placement of a sparse set of correspondences between the input data and the mesh to be animated. The proposed algorithm implicitly generates realistic body deformations, and can easily transfer motions between human subjects of completely different shape and proportions. We feature a working prototype system that demonstrates that our method can generate convincing lifelike character animations directly from optical motion capture data.
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Target FiledeAguiar-SimpleFramework.pdf
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