Details
| Original language | English |
|---|---|
| Title of host publication | GRAPP 2013 IVAPP 2013 |
| Subtitle of host publication | Proceedings of the International Conference on Computer Graphics Theory and Applications and International Conference on Information Visualization Theory and Applications |
| Pages | 227-236 |
| Number of pages | 10 |
| Publication status | Published - 2013 |
| Event | International Conference on Computer Graphics Theory and Applications, GRAPP 2013 and International Conference on Information Visualization Theory and Applications, IVAPP 2013 - Barcelona, Spain Duration: 21 Feb 2013 → 24 Feb 2013 |
Publication series
| Name | GRAPP 2013 IVAPP 2013 - Proceedings of the International Conference on Computer Graphics Theory and Applications and International Conference on Information Visualization Theory and Applications |
|---|
Abstract
Due to rapid development of virtual reality industry, realistic modeling and animation is becoming more and more important. In the paper, we propose a method to synthesize both human appearance and motion given semantic parameters, as well as to create realistic animation of still meshes and to synthesize appearance based on a given motion. Our approach is data-driven and allows to correlate two databases containing shape and motion data. The synthetic output of the model is evaluated quantitatively and in terms of visual plausibility.
Keywords
- Animation, Shape and motion synthesis, Statistical modeling
ASJC Scopus subject areas
- Computer Science(all)
- Computer Graphics and Computer-Aided Design
- Computer Science(all)
- Computer Science Applications
- Computer Science(all)
- Computer Vision and Pattern Recognition
Cite this
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GRAPP 2013 IVAPP 2013: Proceedings of the International Conference on Computer Graphics Theory and Applications and International Conference on Information Visualization Theory and Applications. 2013. p. 227-236 (GRAPP 2013 IVAPP 2013 - Proceedings of the International Conference on Computer Graphics Theory and Applications and International Conference on Information Visualization Theory and Applications).
Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review
}
TY - GEN
T1 - A statistical model for coupled human shape and motion synthesis
AU - Kuznetsova, Alina
AU - Troje, Nikolaus F.
AU - Rosenhahn, Bodo
PY - 2013
Y1 - 2013
N2 - Due to rapid development of virtual reality industry, realistic modeling and animation is becoming more and more important. In the paper, we propose a method to synthesize both human appearance and motion given semantic parameters, as well as to create realistic animation of still meshes and to synthesize appearance based on a given motion. Our approach is data-driven and allows to correlate two databases containing shape and motion data. The synthetic output of the model is evaluated quantitatively and in terms of visual plausibility.
AB - Due to rapid development of virtual reality industry, realistic modeling and animation is becoming more and more important. In the paper, we propose a method to synthesize both human appearance and motion given semantic parameters, as well as to create realistic animation of still meshes and to synthesize appearance based on a given motion. Our approach is data-driven and allows to correlate two databases containing shape and motion data. The synthetic output of the model is evaluated quantitatively and in terms of visual plausibility.
KW - Animation
KW - Shape and motion synthesis
KW - Statistical modeling
UR - http://www.scopus.com/inward/record.url?scp=84878164553&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:84878164553
SN - 9789898565464
T3 - GRAPP 2013 IVAPP 2013 - Proceedings of the International Conference on Computer Graphics Theory and Applications and International Conference on Information Visualization Theory and Applications
SP - 227
EP - 236
BT - GRAPP 2013 IVAPP 2013
T2 - International Conference on Computer Graphics Theory and Applications, GRAPP 2013 and International Conference on Information Visualization Theory and Applications, IVAPP 2013
Y2 - 21 February 2013 through 24 February 2013
ER -