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Author, Editor(s)

Author(s):

Rosenhahn, Bodo
Perwass, Christian
Sommer, Gerald

dblp
dblp
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Not MPG Author(s):

Perwass, Christian
Sommer, Gerald

BibTeX cite key*:

RosenhahnIJCV2005

Title

Title*:

Pose Estimation of Free-form Contours


IJCV05.pdf (643.1 KB)

Journal

Journal Title*:

International Journal of Computer Vision

Journal's URL:

http://www.springerlink.com/(wqohyw55rlw4iv55sudt0efa)/app/home/journal.asp?referrer=parent&backto=linkingpublicationresults,1:100272,1

Download URL
for the article:

http://www.mpi-inf.mpg.de/~rosenhahn/publications/IJCV05.pdf

Language:

English

Publisher

Publisher's
Name:

Kluwer

Publisher's URL:

http://www.springerlink.com

Publisher's
Address:

Heidelberg, Germany

ISSN:

0920-5691

Vol, No, pp, Date

Volume*:

62

Number:

3

Publishing Date:

May 2005

Pages*:

267-289

Number of
VG Pages:

23

Page Start:


Page End:


Sequence Number:


DOI:


Note, Abstract, ©

Note:


(LaTeX) Abstract:

In this article we discuss the 2D-3D pose estimation problem of 3D free-form contours. In our scenario we observe objects of any 3D shape in an image of a calibrated camera. Pose estimation means to estimate the relative position and orientation (containing a rotation and translation) of the 3D object to the reference camera system. The fusion of modeling free-form contours within the pose estimation problem is achieved by using the conformal geometric algebra. The conformal geometric algebra is a geometric algebra which models entities as stereographically projected entities in a homogeneous model. This leads to a linear description of kinematics on the one hand and projective geometry on the other hand. To model free-form contours in the conformal framework we use twists to model cycloidal curves as twist-depending functions and interpret n-times nested twist generated curves as functions generated by 3D Fourier descriptors. This means, we use the twist concept to apply a spectral domain representation of 3D contours within the pose estimation problem. We will show that twist representations of objects can be numerically efficient and easily be applied to the pose estimation problem. The pose problem itself is formalized as implicit problem and we gain constraint equations, which have to be fulfilled with respect to the unknown rigid body motion. Several experiments visualize the robustness and real-time performance of our algorithms.

URL for the Abstract:

http://www.springerlink.com/(pfyqac55lkzefnbigqp3stfi)/app/home/contribution.asp?referrer=parent&backto=issue,4,4;journal,6,117;linkingpublicationresults,1:100272,1

Categories,
Keywords:

2D-3D pose estimation, free-form contours, algebraic curves, conformal geometry, geometric algebra

HyperLinks / References / URLs:


Copyright Message:

Springer

Personal Comments:


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:

@ARTICLE{RosenhahnIJCV2005,
AUTHOR = {Rosenhahn, Bodo and Perwass, Christian and Sommer, Gerald},
TITLE = {Pose Estimation of Free-form Contours},
JOURNAL = {International Journal of Computer Vision},
PUBLISHER = {Kluwer},
YEAR = {2005},
NUMBER = {3},
VOLUME = {62},
PAGES = {267--289},
ADDRESS = {Heidelberg, Germany},
MONTH = {May},
ISBN = {0920-5691},
}


Entry last modified by Christine Kiesel, 05/31/2006
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Editor(s)
Bodo Rosenhahn
Created
12/22/2005 09:31:49 AM
Revisions
4.
3.
2.
1.
0.
Editor(s)
Christine Kiesel
Christine Kiesel
Bodo Rosenhahn
Christine Kiesel
Christine Kiesel
Edit Dates
31.05.2006 11:35:42
31.05.2006 11:35:31
04/25/2006 05:05:25 PM
13.04.2006 19:05:39
12/22/2005 09:31:49 AM
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