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Author, Editor

Author(s):

Gall, Jürgen
Rosenhahn, Bodo
Seidel, Hans-Peter

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Editor(s):

Chang, Long-Wen
Lie, Wen-Nung

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Not MPII Editor(s):

Chang, Long-Wen
Lie, Wen-Nung

BibTeX cite key*:

Gall2006c

Title, Booktitle

Title*:

Robust Pose Estimation with 3D Textured Models

Booktitle*:

Advances in Image and Video Technology, First Pacific Rim Symposium, PSIVT 2006

Event, URLs

URL of the conference:

http://psivt2006.ee.nthu.edu.tw

URL for downloading the paper:

http://www.springerlink.com/content/m77674v831833hk1/fulltext.pdf

http://www.mpi-inf.mpg.de/~jgall/download/jgall_3DTexturedModels.pdf

Event Address*:

Hsinchu, Taiwan

Language:

English

Event Date*
(no longer used):


Organization:

IEEE

Event Start Date:

11 December 2006

Event End Date:

13 December 2006

Publisher

Name*:

Springer

URL:

http://www.springer.com/

Address*:

Berlin, Germany

Type:


Vol, No, Year, pp.

Series:

Lecture Notes in Computer Science

Volume:

4319

Number:


Month:

December

Pages:

84-95

Year*:

2006

VG Wort Pages:


ISBN/ISSN:

978-3-540-68297-4; 3-540-68297-X

Sequence Number:


DOI:




Note, Abstract, ©


(LaTeX) Abstract:

Estimating the pose of a rigid body means to determine the rigid body motion in the 3D space from 2D images. For this purpose, it is reasonable to make use of existing knowledge of the object. Our approach exploits the 3D shape and the texture of the tracked object in form of a 3D textured model to establish 3D-2D correspondences for pose estimation. While the surface of the 3D free-form model is matched to the contour extracted by segmentation, additional reliable correspondences are obtained by matching local descriptors of interest points between the textured model and the images. The fusion of these complementary features provides a robust pose estimation. Moreover, the initial pose is automatically detected and the pose is predicted for each frame. Using the predicted pose as shape prior makes the contour extraction less sensitive. The performance of our method is demonstrated by stereo tracking experiments.

URL for the Abstract:

http://dx.doi.org/10.1007/11949534_9



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{Gall2006c,
AUTHOR = {Gall, J{\"u}rgen and Rosenhahn, Bodo and Seidel, Hans-Peter},
EDITOR = {Chang, Long-Wen and Lie, Wen-Nung},
TITLE = {Robust Pose Estimation with {3D} Textured Models},
BOOKTITLE = {Advances in Image and Video Technology, First Pacific Rim Symposium, PSIVT 2006},
PUBLISHER = {Springer},
YEAR = {2006},
ORGANIZATION = {IEEE},
VOLUME = {4319},
PAGES = {84--95},
SERIES = {Lecture Notes in Computer Science},
ADDRESS = {Hsinchu, Taiwan},
MONTH = {December},
ISBN = {978-3-540-68297-4},
; ISBN = {3-540-68297-X
},
}


Entry last modified by Christine Kiesel, 07/01/2009
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Editor(s)
Jürgen Gall
Created
12/20/2006 04:41:46 PM
Revisions
4.
3.
2.
1.
0.
Editor(s)
Christine Kiesel
Jürgen Gall
Jürgen Gall
Jürgen Gall
Jürgen Gall
Edit Dates
25.02.2007 20:30:31
01/04/2007 02:03:50 PM
12/20/2006 04:49:58 PM
12/20/2006 04:45:37 PM
12/20/2006 04:41:46 PM
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