Paper
2 June 2012 Lens distortion calibration using homography
X. Q. Xu, J. Y. Xia, Q. Zhang, J. L. Xiong
Author Affiliations +
Proceedings Volume 8334, Fourth International Conference on Digital Image Processing (ICDIP 2012); 83341L (2012) https://doi.org/10.1117/12.949508
Event: Fourth International Conference on Digital Image Processing (ICDIP 2012), 2012, Kuala Lumpur, Malaysia
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.
© (2012) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
X. Q. Xu, J. Y. Xia, Q. Zhang, and J. L. Xiong "Lens distortion calibration using homography", Proc. SPIE 8334, Fourth International Conference on Digital Image Processing (ICDIP 2012), 83341L (2 June 2012); https://doi.org/10.1117/12.949508
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KEYWORDS
Distortion

Calibration

Cameras

Computer vision technology

Image segmentation

Machine vision

3D modeling

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