A simple method for correcting lens distortion in low-cost camera using geometric invariability

  • Authors:
  • Van-Toan Cao;Yu-Yung Park;Jae-Hyeok Shin;Jong-Hwa Lee;Hyo-Moon Cho

  • Affiliations:
  • School of Electrical Engineering, University of Ulsan, South Korea;School of Electrical Engineering, University of Ulsan, South Korea;ADIC Co., Ltd., Ulsan, South Korea;School of Electrical Engineering, University of Ulsan, South Korea;School of Electrical Engineering, University of Ulsan, South Korea

  • Venue:
  • ICIC'10 Proceedings of the Advanced intelligent computing theories and applications, and 6th international conference on Intelligent computing
  • Year:
  • 2010

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Abstract

In this paper, a lens distortion correction method for low-cost digital camera is proposed. The distortion coefficient and distortion center are estimated by using geometric invariants of perspective projection. The geometric invariants, including cross ratio of collinear points and straight-parallel-perpendicular lines, will be invariant in transforming from the world coordinate system to image coordinate system if there exists no distortion. We derive new distortion measure that is based on these geometric properties and can be optimized with nonlinear search technique. The method is easy to apply and lead to robust results with moderate effort. We verify accuracy and efficiency from experiments.