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Author, Editor

Author(s):

Theobalt, Christian
de Aguiar, Edilson
Magnor, Marcus
Theisel, Holger
Seidel, Hans-Peter

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Editor(s):

Lau, Rynson
Baciu, George

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Not MPII Editor(s):

Lau, Rynson
Baciu, George

BibTeX cite key*:

TheobaltVRST2004

Title, Booktitle

Title*:

Marker-free Kinematic Skeleton Estimation from Sequences of Volume Data

Booktitle*:

ACM Symposium on Virtual Reality Software and Technology (VRST 2004)

Event, URLs

URL of the conference:

http://www.cs.cityu.edu.hk/~vrst2004/

URL for downloading the paper:


Event Address*:

Hong Kong, China

Language:

English

Event Date*
(no longer used):


Organization:

Association of Computing Machinery (ACM)

Event Start Date:

10 November 2004

Event End Date:

12 November 2004

Publisher

Name*:

ACM

URL:

http://www.acm.org

Address*:

New York, USA

Type:


Vol, No, Year, pp.

Series:


Volume:


Number:


Month:

November

Pages:

57-64

Year*:

2004

VG Wort Pages:

40

ISBN/ISSN:

1-58113-907-1

Sequence Number:


DOI:




Note, Abstract, ©


(LaTeX) Abstract:

\begin{abstract}
For realistic animation of an artificial character a body model that represents
the character's kinematic structure is required.
%
Hierarchical skeleton models
are widely used which represent bodies as chains of bones with interconnecting joints.
%
In video motion capture, animation parameters are derived from the performance
of a subject in the real world.
%
For this acquisition procedure too, a kinematic body model
is required.
%
Typically, the generation of such a model for tracking and animation
is, at best, a semi-automatic process. We present a novel approach that estimates
a hierarchical skeleton model of an arbitrary moving subject from sequences of voxel data
that were reconstructed from multi-view video footage.
Our method does not require a-priori information about the body structure.
%The approach is particularly
%suited as a component of a marker-free optical motion capture system.
We demonstrate its performance using synthetic and real data.
\end{abstract}

Keywords:

Motion Capture, Virtual Reality, Voxel Volumes, Model Estimation, Kinematic Skeleton



Download
Access Level:

Public

Correlation

MPG Unit:

Max-Planck-Institut für Informatik



MPG Subunit:

Computer Graphics Group

Appearance:

MPII WWW Server, MPII FTP Server, MPG publications list, university publications list, working group publication list, Fachbeirat, VG Wort



BibTeX Entry:

@INPROCEEDINGS{TheobaltVRST2004,
AUTHOR = {Theobalt, Christian and de Aguiar, Edilson and Magnor, Marcus and Theisel, Holger and Seidel, Hans-Peter},
EDITOR = {Lau, Rynson and Baciu, George},
TITLE = {Marker-free Kinematic Skeleton Estimation from Sequences of Volume Data},
BOOKTITLE = {ACM Symposium on Virtual Reality Software and Technology (VRST 2004)},
PUBLISHER = {ACM},
YEAR = {2004},
ORGANIZATION = {Association of Computing Machinery (ACM)},
PAGES = {57--64},
ADDRESS = {Hong Kong, China},
MONTH = {November},
ISBN = {1-58113-907-1},
}


Entry last modified by Anja Becker, 02/04/2005
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Editor(s)
Christian Theobalt
Created
12/28/2004 04:31:43 PM
Revisions
2.
1.
0.

Editor(s)
Anja Becker
Christian Theobalt
Christian Theobalt

Edit Dates
04.02.2005 11:49:20
12/28/2004 04:33:10 PM
12/28/2004 04:31:43 PM

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