Practical pan-tilt-zoom-focus camera calibration for augmented reality

Juhyun Oh, Seungjin Nam, Kwanghoon Sohn

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

While high-definition cameras with automated zoom lenses are widely used in broadcasting and film productions, there have been no practical calibration methods working without special hardware devices. We propose a practical method to calibrate pan-tilt-zoom-focus cameras, which takes advantages from both pattern-based and rotation-based calibration approaches. It uses patterns whose positions are only roughly known a priori, with several image samples taken at different rotations. The proposed method can find the camera view's translation along the optical axis caused by zoom and focus operations, which has been neglected in most rotation-based algorithms. We also propose a practical focus calibration technique that is applicable even when the image is too defocused for the patterns to be detected. The proposed method is composed of two separate procedures - zoom calibration and focus calibration. Once the calibration is done for all zoom settings with a fixed focus setting, the remaining focus calibration is fully automatic. We show the accuracy of the proposed method by comparing it to the algorithm most widely used in computer vision. The proposed algorithm works also well for real cameras with translation offsets.

Original languageEnglish
Title of host publicationComputer Vision Systems - 7th International Conference, ICVS 2009, Proceedings
Pages225-234
Number of pages10
Volume5815 LNCS
DOIs
Publication statusPublished - 2009 Dec 14
Event7th International Conference on Computer Vision Systems, ICVS 2009 - Liege, Belgium
Duration: 2009 Oct 132009 Oct 15

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume5815 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other7th International Conference on Computer Vision Systems, ICVS 2009
CountryBelgium
CityLiege
Period09/10/1309/10/15

Fingerprint

Camera Calibration
Augmented reality
Augmented Reality
Tilt
Calibration
Cameras
Camera
Broadcasting
Computer Vision
Computer vision
Lens
Lenses
Hardware

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • Computer Science(all)

Cite this

Oh, J., Nam, S., & Sohn, K. (2009). Practical pan-tilt-zoom-focus camera calibration for augmented reality. In Computer Vision Systems - 7th International Conference, ICVS 2009, Proceedings (Vol. 5815 LNCS, pp. 225-234). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 5815 LNCS). https://doi.org/10.1007/978-3-642-04667-4_23
Oh, Juhyun ; Nam, Seungjin ; Sohn, Kwanghoon. / Practical pan-tilt-zoom-focus camera calibration for augmented reality. Computer Vision Systems - 7th International Conference, ICVS 2009, Proceedings. Vol. 5815 LNCS 2009. pp. 225-234 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
@inproceedings{7b4772931219428bbb1379b65364ea42,
title = "Practical pan-tilt-zoom-focus camera calibration for augmented reality",
abstract = "While high-definition cameras with automated zoom lenses are widely used in broadcasting and film productions, there have been no practical calibration methods working without special hardware devices. We propose a practical method to calibrate pan-tilt-zoom-focus cameras, which takes advantages from both pattern-based and rotation-based calibration approaches. It uses patterns whose positions are only roughly known a priori, with several image samples taken at different rotations. The proposed method can find the camera view's translation along the optical axis caused by zoom and focus operations, which has been neglected in most rotation-based algorithms. We also propose a practical focus calibration technique that is applicable even when the image is too defocused for the patterns to be detected. The proposed method is composed of two separate procedures - zoom calibration and focus calibration. Once the calibration is done for all zoom settings with a fixed focus setting, the remaining focus calibration is fully automatic. We show the accuracy of the proposed method by comparing it to the algorithm most widely used in computer vision. The proposed algorithm works also well for real cameras with translation offsets.",
author = "Juhyun Oh and Seungjin Nam and Kwanghoon Sohn",
year = "2009",
month = "12",
day = "14",
doi = "10.1007/978-3-642-04667-4_23",
language = "English",
isbn = "3642046665",
volume = "5815 LNCS",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
pages = "225--234",
booktitle = "Computer Vision Systems - 7th International Conference, ICVS 2009, Proceedings",

}

Oh, J, Nam, S & Sohn, K 2009, Practical pan-tilt-zoom-focus camera calibration for augmented reality. in Computer Vision Systems - 7th International Conference, ICVS 2009, Proceedings. vol. 5815 LNCS, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 5815 LNCS, pp. 225-234, 7th International Conference on Computer Vision Systems, ICVS 2009, Liege, Belgium, 09/10/13. https://doi.org/10.1007/978-3-642-04667-4_23

Practical pan-tilt-zoom-focus camera calibration for augmented reality. / Oh, Juhyun; Nam, Seungjin; Sohn, Kwanghoon.

Computer Vision Systems - 7th International Conference, ICVS 2009, Proceedings. Vol. 5815 LNCS 2009. p. 225-234 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 5815 LNCS).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

TY - GEN

T1 - Practical pan-tilt-zoom-focus camera calibration for augmented reality

AU - Oh, Juhyun

AU - Nam, Seungjin

AU - Sohn, Kwanghoon

PY - 2009/12/14

Y1 - 2009/12/14

N2 - While high-definition cameras with automated zoom lenses are widely used in broadcasting and film productions, there have been no practical calibration methods working without special hardware devices. We propose a practical method to calibrate pan-tilt-zoom-focus cameras, which takes advantages from both pattern-based and rotation-based calibration approaches. It uses patterns whose positions are only roughly known a priori, with several image samples taken at different rotations. The proposed method can find the camera view's translation along the optical axis caused by zoom and focus operations, which has been neglected in most rotation-based algorithms. We also propose a practical focus calibration technique that is applicable even when the image is too defocused for the patterns to be detected. The proposed method is composed of two separate procedures - zoom calibration and focus calibration. Once the calibration is done for all zoom settings with a fixed focus setting, the remaining focus calibration is fully automatic. We show the accuracy of the proposed method by comparing it to the algorithm most widely used in computer vision. The proposed algorithm works also well for real cameras with translation offsets.

AB - While high-definition cameras with automated zoom lenses are widely used in broadcasting and film productions, there have been no practical calibration methods working without special hardware devices. We propose a practical method to calibrate pan-tilt-zoom-focus cameras, which takes advantages from both pattern-based and rotation-based calibration approaches. It uses patterns whose positions are only roughly known a priori, with several image samples taken at different rotations. The proposed method can find the camera view's translation along the optical axis caused by zoom and focus operations, which has been neglected in most rotation-based algorithms. We also propose a practical focus calibration technique that is applicable even when the image is too defocused for the patterns to be detected. The proposed method is composed of two separate procedures - zoom calibration and focus calibration. Once the calibration is done for all zoom settings with a fixed focus setting, the remaining focus calibration is fully automatic. We show the accuracy of the proposed method by comparing it to the algorithm most widely used in computer vision. The proposed algorithm works also well for real cameras with translation offsets.

UR - http://www.scopus.com/inward/record.url?scp=71549133076&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=71549133076&partnerID=8YFLogxK

U2 - 10.1007/978-3-642-04667-4_23

DO - 10.1007/978-3-642-04667-4_23

M3 - Conference contribution

SN - 3642046665

SN - 9783642046667

VL - 5815 LNCS

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

SP - 225

EP - 234

BT - Computer Vision Systems - 7th International Conference, ICVS 2009, Proceedings

ER -

Oh J, Nam S, Sohn K. Practical pan-tilt-zoom-focus camera calibration for augmented reality. In Computer Vision Systems - 7th International Conference, ICVS 2009, Proceedings. Vol. 5815 LNCS. 2009. p. 225-234. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). https://doi.org/10.1007/978-3-642-04667-4_23