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Author, Editor

Author(s):

Rosenhahn, Bodo
Brox, Thomas
Weickert, Joachim

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dblp
dblp

Not MPG Author(s):

Brox, Thomas
Weickert, Joachim

Editor(s):

Kropatsch, Walter
Sablatnig, Robert
Hanbury, Allan

dblp
dblp
dblp

Not MPII Editor(s):

Kropatsch, Walter
Sablatnig, Robert
Hanbury, Allan

BibTeX cite key*:

RosenhahnDAGM2005b

Title, Booktitle

Title*:

Three-Dimensional Shape Knowledge for Joint Image Segmentation and Pose Estimation


brox_dagm05.pdf (1711.55 KB)

Booktitle*:

Pattern recognition : 27th DAGM Symposium

Event, URLs

URL of the conference:

http://www.prip.tuwien.ac.at/dagm05/index.php

URL for downloading the paper:

http://www.mpi-inf.mpg.de/~rosenhahn/publications/brox_dagm05.pdf

Event Address*:

Vienna, Austria

Language:

English

Event Date*
(no longer used):


Organization:


Event Start Date:

22 December 2005

Event End Date:

22 December 2005

Publisher

Name*:

Springer

URL:

http://www.springer.com

Address*:

Berlin, Germany

Type:

Full paper

Vol, No, Year, pp.

Series:

Lecture Notes in Computer Science

Volume:

3663

Number:


Month:

September

Pages:

109-116

Year*:

2005

VG Wort Pages:

8

ISBN/ISSN:

3-540-28703-5

Sequence Number:


DOI:




Note, Abstract, ©


(LaTeX) Abstract:

This paper presents the integration of 3D shape knowledge into a
variational model for level set based image segmentation and tracking.
Having a 3D surface model of an object that is visible in the image of a
calibrated camera, the object contour stemming from the segmentation is
applied to estimate the 3D pose parameters, whereas the object model
projected to the image plane helps in a top-down manner to improve the
extraction of the contour and the region statistics. The present approach
clearly states all model assumptions in a single energy functional. This
keeps the model manageable and allows further extensions for the future.
While common alternative segmentation approaches that integrate 2D shape
knowledge face the problem that an object can look very different from
various viewpoints, a 3D free form model ensures that for each view the
model can perfectly fit the data in the image. Moreover, one solves the
higher level problem of determining the object pose including its distance
to the camera. Experiments demonstrate the performance of the method.

Copyright Message:

Springer


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



BibTeX Entry:

@INPROCEEDINGS{RosenhahnDAGM2005b,
AUTHOR = {Rosenhahn, Bodo and Brox, Thomas and Weickert, Joachim},
EDITOR = {Kropatsch, Walter and Sablatnig, Robert and Hanbury, Allan},
TITLE = {Three-Dimensional Shape Knowledge for Joint Image Segmentation and Pose Estimation},
BOOKTITLE = {Pattern recognition : 27th DAGM Symposium},
PUBLISHER = {Springer},
YEAR = {2005},
TYPE = {Full paper},
VOLUME = {3663},
PAGES = {109--116},
SERIES = {Lecture Notes in Computer Science},
ADDRESS = {Vienna, Austria},
MONTH = {September},
ISBN = {3-540-28703-5},
}


Entry last modified by Christine Kiesel, 07/06/2006
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Editor(s)
Bodo Rosenhahn
Created
12/22/2005 10:12:31 AM
Revisions
4.
3.
2.
1.
0.
Editor(s)
Christine Kiesel
Christine Kiesel
Bodo Rosenhahn
Christine Kiesel
Christine Kiesel
Edit Dates
06.07.2006 14:55:32
31.05.2006 11:30:30
04/25/2006 05:04:33 PM
25.04.2006 16:39:48
12/22/2005 10:12:31 AM
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