Automated calibration and correction of radial lens distortion
Date
1994
Authors
Prescott, Blair
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Abstract
Lens distortion is present in all cameras, especially when inexpensive lenses are used. Distortion can significantly affect geometrical image properties, degrading the performance of applications which use geometric measures , such as shape recognition, object tracking, robot guidance, and videometry. This thesis describes automated techniques to measure and correct for distortion using image feature extraction, optimization, and image warping.