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Proceedings Article, Paper
@InProceedings
Beitrag in Tagungsband, Workshop

Author, Editor
Author(s):
Ahmed, Naveed
Theobalt, Christian
Dobrev, Petar
Seidel, Hans-Peter
Thrun, Sebastian		dblp
dblp
dblp
dblp
dblp
Not MPG Author(s):
Dobrev, Petar
Thrun, Sebastian
Editor(s):
BibTeX cite key*:
NaveedCVPR08b
Title, Booktitle
Title*:
Robust Fusion of Dynamic Shape and Normal Capture for High-quality Reconstruction of Time-varying Geometry
Booktitle*:
IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2008)
Event, URLs
Conference URL::
http://vision.eecs.ucf.edu/
Downloading URL:
http://www.mpi-inf.mpg.de/~nahmed/cvpr08b.pdf
Event Address*:
Anchorage, Alaska
Language:
English
Event Date*
(no longer used):
Organization:
Event Start Date:
24 June 2008
Event End Date:
26 June 2008
Publisher
Name*:
IEEE Computer Society
URL:
http://www.computer.org/
Address*:
Los Alamitos, USA
Type:
Vol, No, Year, pp.
Series:
Volume:
Number:
Month:
June
Pages:
1-8
Year*:
2008
VG Wort Pages:
ISBN/ISSN:
Sequence Number:
DOI:
Note, Abstract, ©
(LaTeX) Abstract:
We present a new passive approach to capture time-varying scene geometry in large acquisition volumes from multi-view video. It can be applied to reconstruct complete moving models of human actors that feature even slightest dynamic geometry detail, such as wrinkles and folds in clothing, and that can be viewed from 360 degrees. Starting from multi-view video streams recorded under calibrated lighting, we first perform marker-less human motion capture based on a smooth template with no high-frequency surface detail. Subsequently, surface reflectance and time-varying normal fields are estimated based on the coarse template shape. The main contribution of this work is a new statistical approach to solve the non-trivial problem of transforming the captured normal field that is defined over the smooth non-planar 3D template into true 3D displacements. Our spatio-temporal reconstruction method outputs displaced geometry that is accurate at each time step of video and temporally smooth, even if the input data are affected by noise.
Download
Access Level:
Public

Correlation
MPG Unit:
Max-Planck-Institut für Informatik
MPG Subunit:
Computer Graphics Group
Audience:
popular
Appearance:
MPII WWW Server, MPII FTP Server, MPG publications list, university publications list, working group publication list, Fachbeirat, VG Wort



BibTeX Entry:

@INPROCEEDINGS{NaveedCVPR08b,
AUTHOR = {Ahmed, Naveed and Theobalt, Christian and Dobrev, Petar and Seidel, Hans-Peter and Thrun, Sebastian},
 TITLE = {Robust Fusion of Dynamic Shape and Normal Capture for High-quality Reconstruction of Time-varying Geometry},
 BOOKTITLE = {IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2008)},
 PUBLISHER = {IEEE Computer Society},
 YEAR = {2008},
 PAGES = {1--8},
 ADDRESS = {Anchorage, Alaska},
 MONTH = {June},
}

Entry last modified by Naveed Ahmed, 03/03/2009
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Editor(s)
Naveed Ahmed		Created
02/12/2009 11:37:17 PM
Revisions
2.
1.
0.

Editor(s)
Naveed Ahmed
Naveed Ahmed
Naveed Ahmed

Edit Dates
02/12/2009 11:48:13 PM
02/12/2009 11:46:41 PM
02/12/2009 11:37:17 PM