Ray-space based camera spacing correction via convex optimization

Lingfeng Xu, Oscar C. Au, Wenxiu Sun, Jiali Li, Wei Hu, Rui Ma

Research output: Chapter in Book/Conference Proceeding/ReportConference Paper published in a bookpeer-review

Abstract

3D technologies such like three-dimensional television and free viewpoint television have caught enormous attentions in the consumer market recently. However, because of the inaccurate camera configuration and environmental constraint, there are errors in the assumed equally-spaced camera intervals. In this paper, we propose a novel camera spacing correction algorithm to detect the spacing errors among the multiple cameras by making the corresponding points co-linear in the epipolar plane images. Experimental results show that the proposed algorithms are robust and can achieve good performance even if the corresponding pixels are not well detected. Meanwhile, our algorithm can be solved by convex optimization with an extremely low complexity.

Original languageEnglish
Title of host publication2013 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2013 - Proceedings
Pages1845-1848
Number of pages4
DOIs
Publication statusPublished - 18 Oct 2013
Externally publishedYes
Event2013 38th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2013 - Vancouver, BC, Canada
Duration: 26 May 201331 May 2013

Publication series

NameICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
ISSN (Print)1520-6149

Conference

Conference2013 38th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2013
Country/TerritoryCanada
CityVancouver, BC
Period26/05/1331/05/13

Keywords

  • camera spacing correction
  • epipolar plane image
  • multi-view images
  • ray space interpolation

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