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Beitrag in Tagungsband, Workshop


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Author, Editor

Author(s):

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

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Editor(s):

Cohen-Or, Daniel
Ko, Hyeong-Seok
Terzopoulos, Demetri
Warren, Joe

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Not MPII Editor(s):

Cohen-Or, Daniel
Ko, Hyeong-Seok
Terzopoulos, Demetri
Warren, Joe

BibTeX cite key*:

DeAguiarTheoPG2004

Title, Booktitle

Title*:

M3 : Marker-free Model Reconstruction and Motion Tracking from 3D Voxel Data

Booktitle*:

12th Pacific Conference on Computer Graphics and Applications, PG 2004

Event, URLs

URL of the conference:

http://graphics.snu.ac.kr/pg2004/

URL for downloading the paper:


Event Address*:

Seoul, Korea

Language:

English

Event Date*
(no longer used):


Organization:

IEEE

Event Start Date:

6 October 2004

Event End Date:

8 October 2004

Publisher

Name*:

IEEE

URL:

http://www.ieee.org

Address*:

Los Alamitos, USA

Type:


Vol, No, Year, pp.

Series:


Volume:


Number:


Month:

October

Pages:

101-110

Year*:

2004

VG Wort Pages:

20

ISBN/ISSN:

0-7695-2234-3

Sequence Number:


DOI:




Note, Abstract, ©


(LaTeX) Abstract:

In computer animation, human motion capture from video is a widely used
technique to acquire motion parameters.
The acquisition process typically
requires an intrusion into the scene in the form of optical
markers which are used to estimate the parameters of motion
as well as the kinematic structure of the performer. Marker-free
optical motion capture approaches exist, but due to their
dependence on a specific type of a priori model they can hardly be used
to track other subjects, e.g. animals. To bridge the gap between
the generality of marker-based methods and the applicability of marker-free methods
we present a flexible non-intrusive approach that estimates both, a kinematic model
and its parameters of motion from a sequence of voxel-volumes.
The volume sequences are reconstructed from multi-view video data by means of a shape-from-silhouette technique.
The described method is well-suited for but not limited to motion capture of human subjects.



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{DeAguiarTheoPG2004,
AUTHOR = {de Aguiar, Edilson and Theobalt, Christian and Magnor, Marcus and Theisel, Holger and Seidel, Hans-Peter},
EDITOR = {Cohen-Or, Daniel and Ko, Hyeong-Seok and Terzopoulos, Demetri and Warren, Joe},
TITLE = {M3 : Marker-free Model Reconstruction and Motion Tracking from 3D Voxel Data},
BOOKTITLE = {12th Pacific Conference on Computer Graphics and Applications, PG 2004},
PUBLISHER = {IEEE},
YEAR = {2004},
ORGANIZATION = {IEEE},
PAGES = {101--110},
ADDRESS = {Seoul, Korea},
MONTH = {October},
ISBN = {0-7695-2234-3},
}


Entry last modified by Christine Kiesel, 04/27/2005
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Editor(s)
Christian Theobalt
Created
07/20/2004 03:34:29 PM
Revisions
6.
5.
4.
3.
2.
Editor(s)
Christine Kiesel
Anja Becker
Anja Becker
Christian Theobalt
Christian Theobalt
Edit Dates
03.05.2005 14:34:16
04.02.2005 11:26:47
03.02.2005 11:06:57
01/14/2005 07:21:01 PM
12/17/2004 07:58:15 PM
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