Details
| Original language | English |
|---|---|
| Pages (from-to) | 25-40 |
| Number of pages | 16 |
| Journal | Machine Vision and Applications |
| Volume | 18 |
| Issue number | 1 |
| Publication status | Published - 19 Oct 2006 |
| Externally published | Yes |
Abstract
In this paper an approach for motion capture of dressed people is presented. A cloth draping method is incorporated in a silhouette based motion capture system. This leads to a simultaneous estimation of pose, joint angles, cloth draping parameters and wind forces. An error functional is formalized to minimize the involved parameters simultaneously. This allows for reconstruction of the underlying kinematic structure, even though it is covered with fabrics. Finally, a quantitative error analysis is performed. Pose results are compared with results obtained from a commercially available marker based tracking system. The deviations have a magnitude of three degrees which indicates a reasonably stable approach.
Keywords
- Cloth draping, Motion capture, Pose estimation
ASJC Scopus subject areas
- Computer Science(all)
- Software
- Computer Science(all)
- Hardware and Architecture
- Computer Science(all)
- Computer Vision and Pattern Recognition
- Computer Science(all)
- Computer Science Applications
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In: Machine Vision and Applications, Vol. 18, No. 1, 19.10.2006, p. 25-40.
Research output: Contribution to journal › Article › Research › peer review
}
TY - JOUR
T1 - A system for articulated tracking incorporating a clothing model
AU - Rosenhahn, Bodo
AU - Kersting, Uwe
AU - Powell, Katie
AU - Klette, Reinhard
AU - Klette, Gisela
AU - Seidel, Hans Peter
PY - 2006/10/19
Y1 - 2006/10/19
N2 - In this paper an approach for motion capture of dressed people is presented. A cloth draping method is incorporated in a silhouette based motion capture system. This leads to a simultaneous estimation of pose, joint angles, cloth draping parameters and wind forces. An error functional is formalized to minimize the involved parameters simultaneously. This allows for reconstruction of the underlying kinematic structure, even though it is covered with fabrics. Finally, a quantitative error analysis is performed. Pose results are compared with results obtained from a commercially available marker based tracking system. The deviations have a magnitude of three degrees which indicates a reasonably stable approach.
AB - In this paper an approach for motion capture of dressed people is presented. A cloth draping method is incorporated in a silhouette based motion capture system. This leads to a simultaneous estimation of pose, joint angles, cloth draping parameters and wind forces. An error functional is formalized to minimize the involved parameters simultaneously. This allows for reconstruction of the underlying kinematic structure, even though it is covered with fabrics. Finally, a quantitative error analysis is performed. Pose results are compared with results obtained from a commercially available marker based tracking system. The deviations have a magnitude of three degrees which indicates a reasonably stable approach.
KW - Cloth draping
KW - Motion capture
KW - Pose estimation
UR - http://www.scopus.com/inward/record.url?scp=33846706989&partnerID=8YFLogxK
U2 - 10.1007/s00138-006-0046-y
DO - 10.1007/s00138-006-0046-y
M3 - Article
AN - SCOPUS:33846706989
VL - 18
SP - 25
EP - 40
JO - Machine Vision and Applications
JF - Machine Vision and Applications
SN - 0932-8092
IS - 1
ER -