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Study on binocular stereo camera calibration method

  • Beihang University

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

Abstract

Camera calibration is a key technology in the application of the stereo visual system. On the basis of analyzing the OpenCV camera model and the existing calibration methods of a binocular vision system, a binocular camera calibration algorithm was designed to obtain the internal and external camera parameters. Considering the importance of corner extraction in the camera calibration, a new corner extraction algorithm of gradient threshold is proposed, which can effectively extract the corners. The experiments show that this method is easy to be carried out and the calibration results are stable and accurate, which can satisfy the requirements of binocular stereo visual system application.

Original languageEnglish
Title of host publicationProceedings of 2011 International Conference on Image Analysis and Signal Processing, IASP 2011
Pages133-137
Number of pages5
DOIs
StatePublished - 2011
Event3rd International Conference on Image Analysis and Signal Processing, IASP 2011 - Wuhan, China
Duration: 21 Oct 201123 Oct 2011

Publication series

NameProceedings of 2011 International Conference on Image Analysis and Signal Processing, IASP 2011

Conference

Conference3rd International Conference on Image Analysis and Signal Processing, IASP 2011
Country/TerritoryChina
CityWuhan
Period21/10/1123/10/11

Keywords

  • binocular vision
  • camera calibration
  • camera model
  • corner extraction
  • gradient threshold

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