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Author, Editor

Author(s):

Grochulla, Martin
Thormählen, Thorsten
Seidel, Hans-Peter

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Editor(s):

Gagalowicz, André
Philips, Wilfried

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Not MPII Editor(s):

Gagalowicz, André
Philips, Wilfried

BibTeX cite key*:

Grochulla2011

Title, Booktitle

Title*:

Using Spatially Distributed Patterns for Multiple View Camera Calibration

Booktitle*:

Computer Vision/Computer Graphics Collaboration Techniques: 5th International Conference, MIRAGE 2011

Event, URLs

URL of the conference:

http://acivs.org/mirage2011/

URL for downloading the paper:

http://dx.doi.org/10.1007/978-3-642-24136-9_10

Event Address*:

Rocquencourt, France

Language:

English

Event Date*
(no longer used):


Organization:

INRIA

Event Start Date:

10 October 2011

Event End Date:

11 October 2011

Publisher

Name*:

Springer

URL:

http://www.springer.com

Address*:

Berlin

Type:


Vol, No, Year, pp.

Series:

Lecture Notes in Computer Science

Volume:

6930

Number:


Month:

October

Pages:

110-121

Year*:

2011

VG Wort Pages:


ISBN/ISSN:

978-3-642-24135-2

Sequence Number:


DOI:

10.1007/978-3-642-24136-9



Note, Abstract, ©


(LaTeX) Abstract:

This paper presents an approach to intrinsic and extrinsic camera parameter calibration from a series of photographs or from video. For the reliable and accurate estimation of camera parameters it is common to use specially designed calibration patterns. However, using a single pattern, a globally consistent calibration is only possible from positions and viewing directions from where this single pattern is visible. To overcome this problem, the presented approach uses multiple coded patterns that can be distributed over a large area. A connection graph representing visible patterns in multiple views is generated, which is used to estimate globally consistent camera parameters for the complete scene. The approach is evaluated on synthetic and real-world ground truth examples. Furthermore, the approach is applied to calibrate the stereo-cameras of a robotic head on a moving platform.



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{Grochulla2011,
AUTHOR = {Grochulla, Martin and Thorm{\"a}hlen, Thorsten and Seidel, Hans-Peter},
EDITOR = {Gagalowicz, Andr{\'e} and Philips, Wilfried},
TITLE = {Using Spatially Distributed Patterns for Multiple View Camera Calibration},
BOOKTITLE = {Computer Vision/Computer Graphics Collaboration Techniques: 5th International Conference, MIRAGE 2011},
PUBLISHER = {Springer},
YEAR = {2011},
ORGANIZATION = {INRIA},
VOLUME = {6930},
PAGES = {110--121},
SERIES = {Lecture Notes in Computer Science},
ADDRESS = {Rocquencourt, France},
MONTH = {October},
ISBN = {978-3-642-24135-2},
DOI = {10.1007/978-3-642-24136-9},
}


Entry last modified by Oliver Klehm, 02/12/2013
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Editor(s)
Martin Peter Grochulla
Created
12/15/2011 01:47:14 PM
Revisions
2.
1.
0.

Editor(s)
Oliver Klehm
Anja Becker
Martin Peter Grochulla

Edit Dates
02/12/2013 07:16:27 PM
01.03.2012 14:41:06
12/15/2011 01:47:14 PM

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