Camera Calibration: A Quick and Easy Way to Determine the Scale Factor
IEEE Transactions on Pattern Analysis and Machine Intelligence
Camera Calibration with Distortion Models and Accuracy Evaluation
IEEE Transactions on Pattern Analysis and Machine Intelligence
Three-dimensional computer vision: a geometric viewpoint
Three-dimensional computer vision: a geometric viewpoint
A Flexible New Technique for Camera Calibration
IEEE Transactions on Pattern Analysis and Machine Intelligence
Machine Vision and Applications
Implicit and Explicit Camera Calibration: Theory and Experiments
IEEE Transactions on Pattern Analysis and Machine Intelligence
Lens distortion calibration using point correspondences
CVPR '97 Proceedings of the 1997 Conference on Computer Vision and Pattern Recognition (CVPR '97)
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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.