Accurate Camera Calibration Using the Collinearity Constraint

Yonghuai Liu, Ala Al-Obaidi, Anthony Jakas, Junjie Liu

Research output: Chapter in Book/Report/Conference proceedingConference Proceeding (Non-Journal item)

1 Citation (SciVal)

Abstract

In this paper, we apply the collinearity constraint for accurate camera calibration and correction. The novel method consists of two steps: the first is to estimate the relative parameters of interest with closed form solutions. The second employs the well known Levernburg-Marquardt (LM) algorithm for the global optimization of all the parameters of interest: 4 intrinsic, 7 extrinsic and 4 distortion parameters. The LM algorithm is initialised either as the parameters estimated in the first step or as zero. The optimization is achieved through minimising the sum of the squared back projected errors. The distorted points are finally corrected using again the LM algorithm initialized by the distorted image points themselves, minimizing the squared difference between the distorted corrected point and the given distorted image point. A comparative study based on both synthetic data and real images show that the proposed algorithm produces promising camera calibration and correction results.
Original languageEnglish
Title of host publicationIEEE International Symposium on Computational Intelligence in Robotics and Automation (CIRA), 2009
PublisherIEEE Press
ISBN (Electronic)978-1-4244-4809-8
ISBN (Print)978-1-4244-4808-1
DOIs
Publication statusPublished - 2009
EventIEEE International Symposium on Computational Intelligence in Robotics and Automation (CIRA), 2009 - Daejeon, Korea (Republic of)
Duration: 15 Dec 200918 Dec 2009

Conference

ConferenceIEEE International Symposium on Computational Intelligence in Robotics and Automation (CIRA), 2009
Country/TerritoryKorea (Republic of)
CityDaejeon
Period15 Dec 200918 Dec 2009

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