Proceedings Article, Paper
@InProceedings
Beitrag in Tagungsband, Workshop


Show entries of:

this year (2019) | last year (2018) | two years ago (2017) | Notes URL

Action:

login to update

Options:








Author, Editor

Author(s):

Gall, Jürgen
Rosenhahn, Bodo
Seidel, Hans-Peter

dblp
dblp
dblp



Editor(s):

Hamprecht, Leo
Schnörr, Christoph
Jähne, Bernd

dblp
dblp
dblp

Not MPII Editor(s):

Hamprecht, Leo
Schnörr, Christoph
Jähne, Bernd

BibTeX cite key*:

Gall2007a

Title, Booktitle

Title*:

Clustered Stochastic Optimization for Object Recognition and Pose Estimation

Booktitle*:

29th Annual Symposium of the German Association for Pattern Recognition (DAGM'07)

Event, URLs

URL of the conference:


URL for downloading the paper:


Event Address*:

Heidelberg, Germany

Language:

English

Event Date*
(no longer used):


Organization:


Event Start Date:

12 September 2007

Event End Date:

14 September 2007

Publisher

Name*:

Springer

URL:


Address*:

Berlin

Type:


Vol, No, Year, pp.

Series:

Lecture Notes in Computer Science

Volume:

4713

Number:


Month:


Pages:

32-41

Year*:

2007

VG Wort Pages:

15

ISBN/ISSN:


Sequence Number:


DOI:




Note, Abstract, ©


(LaTeX) Abstract:

We present an approach for estimating the 3D position and
in case of articulated objects also the joint configuration from segmented
2D images. The pose estimation without initial information is a challenging
optimization problem in a high dimensional space and is essential for
texture acquisition and initialization of model-based tracking algorithms.
Our method is able to recognize the correct object in the case of multiple
objects and estimates its pose with a high accuracy. The key component
is a particle-based global optimization method that converges to the
global minimum similar to simulated annealing. After detecting potential
bounded subsets of the search space, the particles are divided into
clusters and migrate to the most attractive cluster as the time increases.
The performance of our approach is verified by means of real scenes and a
quantative error analysis for image distortions. Our experiments include
rigid bodies and full human bodies.



Download
Access Level:

Public

Correlation

MPG Unit:

Max-Planck-Institut für Informatik



MPG Subunit:

Computer Graphics Group

Audience:

experts only

Appearance:

MPII WWW Server, MPII FTP Server, MPG publications list, university publications list, working group publication list, Fachbeirat, VG Wort



BibTeX Entry:

@INPROCEEDINGS{Gall2007a,
AUTHOR = {Gall, J{\"u}rgen and Rosenhahn, Bodo and Seidel, Hans-Peter},
EDITOR = {Hamprecht, Leo and Schn{\"o}rr, Christoph and J{\"a}hne, Bernd},
TITLE = {Clustered Stochastic Optimization for Object Recognition and Pose Estimation},
BOOKTITLE = {29th Annual Symposium of the German Association for Pattern Recognition (DAGM'07)},
PUBLISHER = {Springer},
YEAR = {2007},
VOLUME = {4713},
PAGES = {32--41},
SERIES = {Lecture Notes in Computer Science},
ADDRESS = {Heidelberg, Germany},
}


Entry last modified by Jürgen Gall, 02/28/2008
Show details for Edit History (please click the blue arrow to see the details)Edit History (please click the blue arrow to see the details)
Hide details for Edit History (please click the blue arrow to see the details)Edit History (please click the blue arrow to see the details)

Editor(s)
Jürgen Gall
Created
09/24/2007 01:50:34 PM
Revision
1.
0.


Editor
Jürgen Gall
Jürgen Gall


Edit Date
09/24/2007 01:51:43 PM
09/24/2007 01:50:34 PM


Show details for Attachment SectionAttachment Section
Hide details for Attachment SectionAttachment Section