Binocular camera calibration using rectification error

Derek Bradley*, Wolfgang Heidrich

*Corresponding author for this work

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

14 Scopus citations

Abstract

Reprojection error is a commonly used measure for comparing the quality of different camera calibrations, for example when choosing the best calibration from a set. While this measure is suitable for single cameras, we show that we can improve calibrations in a binocular or multi-camera setup by calibrating the cameras in pairs using a rectification error. The rectification error determines the mismatch in epipolar constraints between a pair of cameras, and it can be used to calibrate binocular camera setups more accurately than using the reprojection error. We provide a quantitative comparison of the reprojection and rectification errors, and also demonstrate our result with examples of binocular stereo reconstruction.

Original languageEnglish (US)
Title of host publicationCRV 2010 - 7th Canadian Conference on Computer and Robot Vision
Pages183-190
Number of pages8
DOIs
StatePublished - Jul 14 2010
Event7th Canadian Conference on Computer and Robot Vision, CRV 2010 - Ottawa, ON, Canada
Duration: May 31 2010Jun 2 2010

Publication series

NameCRV 2010 - 7th Canadian Conference on Computer and Robot Vision

Other

Other7th Canadian Conference on Computer and Robot Vision, CRV 2010
CountryCanada
CityOttawa, ON
Period05/31/1006/2/10

ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition
  • Human-Computer Interaction

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