Image rectification for stereoscopic visualization without 3D glasses

Jin Zhou, Baoxin Li

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

1 Citation (Scopus)

Abstract

There exist various methods for stereoscopic viewing of images, most requiring that a viewer wears some special glasses. Recent technology developments have resulted in displays that enable 3D viewing without glasses. In this paper, we present results from our proposed approach to automatic rectification of two images of the same scene captured by cameras at general positions, so that the results can be viewed on a 3D display. Both simulated and real data experiments are presented.

Original languageEnglish (US)
Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Pages495-498
Number of pages4
Volume4071 LNCS
StatePublished - 2006
Event5th International Conference on Image and Video Retrieval, CIVR 2006 - Tempe, AZ, United States
Duration: Jul 13 2006Jul 15 2006

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume4071 LNCS
ISSN (Print)03029743
ISSN (Electronic)16113349

Other

Other5th International Conference on Image and Video Retrieval, CIVR 2006
CountryUnited States
CityTempe, AZ
Period7/13/067/15/06

Fingerprint

Rectification
Glass
Visualization
Display devices
3D Display
Display
Camera
Cameras
Wear of materials
Experiment
Experiments
Industrial Development

Keywords

  • 3-D visualization
  • Image rectification
  • Stereo

ASJC Scopus subject areas

  • Computer Science(all)
  • Biochemistry, Genetics and Molecular Biology(all)
  • Theoretical Computer Science

Cite this

Zhou, J., & Li, B. (2006). Image rectification for stereoscopic visualization without 3D glasses. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4071 LNCS, pp. 495-498). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 4071 LNCS).

Image rectification for stereoscopic visualization without 3D glasses. / Zhou, Jin; Li, Baoxin.

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 4071 LNCS 2006. p. 495-498 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 4071 LNCS).

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

Zhou, J & Li, B 2006, Image rectification for stereoscopic visualization without 3D glasses. in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). vol. 4071 LNCS, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 4071 LNCS, pp. 495-498, 5th International Conference on Image and Video Retrieval, CIVR 2006, Tempe, AZ, United States, 7/13/06.
Zhou J, Li B. Image rectification for stereoscopic visualization without 3D glasses. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 4071 LNCS. 2006. p. 495-498. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
Zhou, Jin ; Li, Baoxin. / Image rectification for stereoscopic visualization without 3D glasses. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 4071 LNCS 2006. pp. 495-498 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
@inproceedings{4043260f2c014605b55980f054bf5b2c,
title = "Image rectification for stereoscopic visualization without 3D glasses",
abstract = "There exist various methods for stereoscopic viewing of images, most requiring that a viewer wears some special glasses. Recent technology developments have resulted in displays that enable 3D viewing without glasses. In this paper, we present results from our proposed approach to automatic rectification of two images of the same scene captured by cameras at general positions, so that the results can be viewed on a 3D display. Both simulated and real data experiments are presented.",
keywords = "3-D visualization, Image rectification, Stereo",
author = "Jin Zhou and Baoxin Li",
year = "2006",
language = "English (US)",
isbn = "3540360182",
volume = "4071 LNCS",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
pages = "495--498",
booktitle = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

}

TY - GEN

T1 - Image rectification for stereoscopic visualization without 3D glasses

AU - Zhou, Jin

AU - Li, Baoxin

PY - 2006

Y1 - 2006

N2 - There exist various methods for stereoscopic viewing of images, most requiring that a viewer wears some special glasses. Recent technology developments have resulted in displays that enable 3D viewing without glasses. In this paper, we present results from our proposed approach to automatic rectification of two images of the same scene captured by cameras at general positions, so that the results can be viewed on a 3D display. Both simulated and real data experiments are presented.

AB - There exist various methods for stereoscopic viewing of images, most requiring that a viewer wears some special glasses. Recent technology developments have resulted in displays that enable 3D viewing without glasses. In this paper, we present results from our proposed approach to automatic rectification of two images of the same scene captured by cameras at general positions, so that the results can be viewed on a 3D display. Both simulated and real data experiments are presented.

KW - 3-D visualization

KW - Image rectification

KW - Stereo

UR - http://www.scopus.com/inward/record.url?scp=33746624426&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=33746624426&partnerID=8YFLogxK

M3 - Conference contribution

SN - 3540360182

SN - 9783540360186

VL - 4071 LNCS

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

SP - 495

EP - 498

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

ER -