Camera calibration using rectangular textures

Hansjoerg (Jacky) Baltes

Camera calibration using rectangular textures

Hansjoerg (Jacky) Baltes

Department of Electrical Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

3 Citations (Scopus)

Abstract

This paper describes a practical method for the camera calibration given a single image of a regular texture. This paper uses the calibration of images of skyscrapers as an example. The paper introduces two algorithms for the assignment of real world coordinates to feature points. The first algorithm selects five closely connected feature points and determines the orientation of the rectangular pattern. The second algorithm iteratively sorts the feature points and assigns real world coordinates to them. Lastly, the Tsai camera calibration algorithm is used to compute the camera parameters.

Original language	English
Title of host publication	Robot Vision - International Workshop RobVis 2001, Proceedings
Editors	Shmuel Peleg, Reinhard Klette, Gerald Sommer
Publisher	Springer Verlag
Pages	245-251
Number of pages	7
ISBN (Print)	3540416943
Publication status	Published - 2001 Jan 1
Event	International Workshop on Robot Vision, RobVis 2001 - Auckland, New Zealand Duration: 2001 Feb 16 → 2001 Feb 18

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	1998
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Other

Other	International Workshop on Robot Vision, RobVis 2001
Country/Territory	New Zealand
City	Auckland
Period	2001/02/16 → 2001/02/18

ASJC Scopus subject areas

Theoretical Computer Science
Computer Science(all)

Cite this

Camera calibration using rectangular textures. / Baltes, Hansjoerg (Jacky).

Robot Vision - International Workshop RobVis 2001, Proceedings. ed. / Shmuel Peleg; Reinhard Klette; Gerald Sommer. Springer Verlag, 2001. p. 245-251 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 1998).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Baltes, HJ 2001, Camera calibration using rectangular textures. in S Peleg, R Klette & G Sommer (eds), Robot Vision - International Workshop RobVis 2001, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 1998, Springer Verlag, pp. 245-251, International Workshop on Robot Vision, RobVis 2001, Auckland, New Zealand, 2001/02/16.

@inproceedings{1d4cdeef4d2d4ed7bc13f676ab79a3d1,

title = "Camera calibration using rectangular textures",

abstract = "This paper describes a practical method for the camera calibration given a single image of a regular texture. This paper uses the calibration of images of skyscrapers as an example. The paper introduces two algorithms for the assignment of real world coordinates to feature points. The first algorithm selects five closely connected feature points and determines the orientation of the rectangular pattern. The second algorithm iteratively sorts the feature points and assigns real world coordinates to them. Lastly, the Tsai camera calibration algorithm is used to compute the camera parameters.",

author = "Baltes, {Hansjoerg (Jacky)}",

year = "2001",

month = jan,

day = "1",

language = "English",

isbn = "3540416943",

series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

publisher = "Springer Verlag",

pages = "245--251",

editor = "Shmuel Peleg and Reinhard Klette and Gerald Sommer",

booktitle = "Robot Vision - International Workshop RobVis 2001, Proceedings",

note = "International Workshop on Robot Vision, RobVis 2001 ; Conference date: 16-02-2001 Through 18-02-2001",

}

TY - GEN

T1 - Camera calibration using rectangular textures

AU - Baltes, Hansjoerg (Jacky)

PY - 2001/1/1

Y1 - 2001/1/1

N2 - This paper describes a practical method for the camera calibration given a single image of a regular texture. This paper uses the calibration of images of skyscrapers as an example. The paper introduces two algorithms for the assignment of real world coordinates to feature points. The first algorithm selects five closely connected feature points and determines the orientation of the rectangular pattern. The second algorithm iteratively sorts the feature points and assigns real world coordinates to them. Lastly, the Tsai camera calibration algorithm is used to compute the camera parameters.

AB - This paper describes a practical method for the camera calibration given a single image of a regular texture. This paper uses the calibration of images of skyscrapers as an example. The paper introduces two algorithms for the assignment of real world coordinates to feature points. The first algorithm selects five closely connected feature points and determines the orientation of the rectangular pattern. The second algorithm iteratively sorts the feature points and assigns real world coordinates to them. Lastly, the Tsai camera calibration algorithm is used to compute the camera parameters.

UR - http://www.scopus.com/inward/record.url?scp=84945156809&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84945156809&partnerID=8YFLogxK

M3 - Conference contribution

AN - SCOPUS:84945156809

SN - 3540416943

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 245

EP - 251

BT - Robot Vision - International Workshop RobVis 2001, Proceedings

A2 - Peleg, Shmuel

A2 - Klette, Reinhard

A2 - Sommer, Gerald

PB - Springer Verlag

T2 - International Workshop on Robot Vision, RobVis 2001

Y2 - 16 February 2001 through 18 February 2001

ER -

Camera calibration using rectangular textures

Abstract

Publication series

Other

ASJC Scopus subject areas

Other files and links

Fingerprint

Cite this