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Proceedings Paper

Lens distortion calibration using homography
Author(s): X. Q. Xu; J. Y. Xia; Q. Zhang; J. L. Xiong
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Paper Abstract

Undistortion methods based on perspective invariants play an important role in computer vision. The key of these methods is how to choose an proper measure to describe the perspective invariance of undistorted image features. We propose a new measure based on the homography between the control points in undistorted image and the pattern. The less the distortion is, the less the mapping error is. A new lens distortion calibration method is also put forward which uses this measure to search for accurate distortion parameters by iterative optimization. Comparing with other proposed measures based on perspective invariants, our measure is both concise and comprehensive. Both synthetic and real experiments show that our method performs well in accuracy and runtime.

Paper Details

Date Published: 2 June 2012
PDF: 5 pages
Proc. SPIE 8334, Fourth International Conference on Digital Image Processing (ICDIP 2012), 83341L (2 June 2012); doi: 10.1117/12.949508
Show Author Affiliations
X. Q. Xu, National Univ. of Defense Technology (China)
J. Y. Xia, National Univ. of Defense Technology (China)
Q. Zhang, National Univ. of Defense Technology (China)
J. L. Xiong, National Univ. of Defense Technology (China)


Published in SPIE Proceedings Vol. 8334:
Fourth International Conference on Digital Image Processing (ICDIP 2012)
Mohamed Othman; Sukumar Senthilkumar; Xie Yi, Editor(s)

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