Blind rectification of radial distortion by line straightness

Burak Benligiray, Cihan Topal

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

9 Citations (Scopus)


Lens distortion self-calibration estimates the distortion model using arbitrary images captured by a camera. The estimated model is then used to rectify images taken with the same camera. These methods generally use the fact that built environments are line dominated and these lines correspond to lines on the image when distortion is not present. The proposed method starts by detecting groups of lines whose real world correspondences are likely to be collinear. These line groups are rectified, then a novel error function is calculated to estimate the amount of remaining distortion. These steps are repeated iteratively until suitable distortion parameters are found. A feature selection method is used to eliminate the line groups that are not collinear in the real world. The method is demonstrated to successfully rectify real images of cluttered scenes in a fully automatic manner.

Original languageEnglish
Title of host publication2016 24th European Signal Processing Conference, EUSIPCO 2016
PublisherEuropean Signal Processing Conference, EUSIPCO
Number of pages5
ISBN (Electronic)9780992862657
Publication statusPublished - 28 Nov 2016
Externally publishedYes
Event24th European Signal Processing Conference, EUSIPCO 2016 - Budapest, Hungary
Duration: 28 Aug 20162 Sept 2016

Publication series

NameEuropean Signal Processing Conference
ISSN (Print)2219-5491


Conference24th European Signal Processing Conference, EUSIPCO 2016

Bibliographical note

Publisher Copyright:
© 2016 IEEE.


  • Camera calibration
  • Distortion rectification
  • Plumbline method
  • Radial distortion
  • Self-calibration


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