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Author, Editor

Author(s):

de Aguiar, Edilson
Theobalt, Christian
Stoll, Carsten
Seidel, Hans-Peter

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Editor(s):

Elgammal, A.
Rosenhahn, Bodo
Klette, R.

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Not MPII Editor(s):

Elgammal, A.
Klette, R.

BibTeX cite key*:

deAguiar2006_HM07

Title, Booktitle

Title*:

Marker-less 3D Feature Tracking for Mesh-based Motion Capture.

Booktitle*:

Human Motion - Understanding, Modeling, Capture and Animation

Event, URLs

URL of the conference:

http://humanmotion.rutgers.edu/

URL for downloading the paper:

http://www.mpi-inf.mpg.de/~edeaguia/publications/deAguiar_hm07.pdf

Event Address*:

Rio de Janeiro, Brazil

Language:

English

Event Date*
(no longer used):


Organization:


Event Start Date:

20 October 2007

Event End Date:

20 October 2007

Publisher

Name*:

Springer

URL:

http://www.springer.com/lncs

Address*:

Berlin, Germany

Type:


Vol, No, Year, pp.

Series:

Lecture Notes in Computer Science

Volume:

4814

Number:


Month:

October

Pages:

1-15

Year*:

2007

VG Wort Pages:

20

ISBN/ISSN:

978-3-540-75702-3

Sequence Number:


DOI:




Note, Abstract, ©


(LaTeX) Abstract:

We present a novel algorithm that robustly tracks 3D trajectories
of features on a moving human who has been recorded with multiple video cameras. Our method does so without special markers in the scene and can be used to track subjects wearing everyday apparel. By using the paths of the 3D points as constraints in a fast mesh deformation approach, we can directly animate a static human body scan such that it performs the same motion as the captured ubject. Our method can therefore be used to directly animate high quality geometry models from unaltered video data which opens the door to new applications in motion capture, 3D Video and computer animation. Since our method does not require a kinematic skeleton and only employs a handful of feature trajectories to generate ifelike animations with realistic surface deformations, it can lso be used to track subjects wearing wide apparel, and even nimals. We demonstrate the performance of our approach using several captured real-world sequences, and also validate its accuracy.



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{deAguiar2006_HM07,
AUTHOR = {de Aguiar, Edilson and Theobalt, Christian and Stoll, Carsten and Seidel, Hans-Peter},
EDITOR = {Elgammal, A. and Rosenhahn, Bodo and Klette, R.},
TITLE = {Marker-less 3D Feature Tracking for Mesh-based Motion Capture.},
BOOKTITLE = {Human Motion - Understanding, Modeling, Capture and Animation},
PUBLISHER = {Springer},
YEAR = {2007},
VOLUME = {4814},
PAGES = {1--15},
SERIES = {Lecture Notes in Computer Science},
ADDRESS = {Rio de Janeiro, Brazil},
MONTH = {October},
ISBN = {978-3-540-75702-3},
}


Entry last modified by Conny Liegl, 02/28/2008
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Editor(s)
Edilson de Aguiar
Created
12/19/2007 03:16:34 AM
Revisions
5.
4.
3.
2.
1.
Editor(s)
Conny Liegl
Edilson de Aguiar
Edilson de Aguiar
Edilson de Aguiar
Edilson de Aguiar
Edit Dates
07.01.2008 15:30:22
01/05/2008 12:53:59 AM
12/19/2007 03:23:45 AM
12/19/2007 03:18:41 AM
12/19/2007 03:17:44 AM
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