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Author, Editor(s)

Author(s):

Theobalt, Christian
Carranza, Joel
Magnor, Marcus
Seidel, Hans-Peter

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BibTeX cite key*:

TheobaltGM2004

Title

Title*:

Combining 3D Flow Fields with Silhouette-based Human Motion Capture for Immersive Video

Journal

Journal Title*:

Graphical Models

Journal's URL:

http://www.elsevier.com/locate/gmod

Download URL
for the article:


Language:

English

Publisher

Publisher's
Name:

Elsevier

Publisher's URL:

http://www.elesevier.com

Publisher's
Address:

Orlando

ISSN:

1524-0703

Vol, No, pp, Date

Volume*:

66

Number:


Publishing Date:

September 2004

Pages*:

333-351

Number of
VG Pages:

30

Page Start:


Page End:


Sequence Number:


DOI:


Note, Abstract, ©

Note:


(LaTeX) Abstract:

\begin{abstract}

In recent years, the convergence of Computer Vision and Computer Graphics has
put forth a new field of research that focuses on the reconstruction of real-world scenes
from video streams.
To make immersive \mbox{3D} video reality, the whole pipeline spanning from scene acquisition
over \mbox{3D} video reconstruction to real-time rendering needs to be researched.

In this paper, we describe latest advancements of our system to record, reconstruct and render
free-viewpoint videos of human actors.

We apply a silhouette-based non-intrusive motion capture
algorithm making use of a 3D human body model to estimate the actor's parameters of motion
from multi-view video streams. A renderer plays back the acquired motion sequence in real-time
from any arbitrary perspective. Photo-realistic physical appearance of the moving actor is
obtained by generating time-varying multi-view textures from video.
This work shows how the motion capture sub-system can be enhanced
by incorporating texture information from the input video streams into the
tracking process. 3D motion fields
are reconstructed from optical flow that are used in combination with
silhouette matching to estimate pose parameters. We demonstrate that a
high visual quality can be achieved with the proposed approach and validate the
enhancements caused by the the motion field step.

\end{abstract}

URL for the Abstract:


Categories,
Keywords:

Free-Viewpoint Video, Machne Vision, Computer Graphics, Motion Capture

HyperLinks / References / URLs:


Copyright Message:


Personal Comments:


Download
Access Level:

Intranet

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:

@ARTICLE{TheobaltGM2004,
AUTHOR = {Theobalt, Christian and Carranza, Joel and Magnor, Marcus and Seidel, Hans-Peter},
TITLE = {Combining 3D Flow Fields with Silhouette-based Human Motion Capture for Immersive Video},
JOURNAL = {Graphical Models},
PUBLISHER = {Elsevier},
YEAR = {2004},
VOLUME = {66},
PAGES = {333--351},
ADDRESS = {Orlando},
MONTH = {September},
ISBN = {1524-0703},
}


Entry last modified by Conny Liegl, 01/14/2005
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Editor(s)
Christian Theobalt
Created
11/29/2004 02:31:02 PM
Revision
1.
0.


Editor
Conny Liegl
Christian Theobalt


Edit Date
14.01.2005 13:14:44
11/29/2004 02:31:02 PM