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An image correction-based approach to camera calibration
Yao-Quan Yang   Dong-Sheng Zhang   Wei Gu   Yu-Dong Lu  
Fac. of Control Sci. & Eng., North China Electr. Power Univ., Baoding, China;

This paper appears in: Machine Learning and Cybernetics, 2004. Proceedings of 2004 International Conference on
Publication Date: 26-29 Aug. 2004
Volume: 6,  On page(s): 3751- 3754 vol.6
ISSN:
ISBN: 0-7803-8403-2
INSPEC Accession Number: 8254347
Current Version Published: 2005-01-24

Abstract
In several cases, the lens distortion introduces some error to visual detection. It is necessary and significant to correct the error efficiently for the purpose of extracting the accurate position information of the observed object. We developed a new method for correcting the radial lens distortion based on the pin-hole model with first order radial distortion. The development of the method is motivated through a desire to develop a linear camera calibration technique that requires the calibration of the less extrinsic parameters, and has better real-time character. Both the simulated image and real image are given to denote that this correction method is robust and accurate.

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