Camera Calibration with Distortion Models and Accuracy Evaluation
IEEE Transactions on Pattern Analysis and Machine Intelligence
A Flexible New Technique for Camera Calibration
IEEE Transactions on Pattern Analysis and Machine Intelligence
Machine Vision and Applications
Convergence Properties of the Nelder--Mead Simplex Method in Low Dimensions
SIAM Journal on Optimization
Lens distortion calibration using point correspondences
CVPR '97 Proceedings of the 1997 Conference on Computer Vision and Pattern Recognition (CVPR '97)
On the Epipolar Geometry Between Two Images with Lens Distortion
ICPR '96 Proceedings of the 1996 International Conference on Pattern Recognition (ICPR '96) Volume I - Volume 7270
Distinctive Image Features from Scale-Invariant Keypoints
International Journal of Computer Vision
A Generic Camera Model and Calibration Method for Conventional, Wide-Angle, and Fish-Eye Lenses
IEEE Transactions on Pattern Analysis and Machine Intelligence
Parameter-Free Radial Distortion Correction with Center of Distortion Estimation
IEEE Transactions on Pattern Analysis and Machine Intelligence
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This paper presents a two-view point correspondences based method to correct radial lens distortion, and it can deals with lens radial distortion of different levels with only two images captured at different orientations. The distance of adjacent feature points is adjusted to make them distribute as evenly as possible in overlapping areas. Then symmetric transfer error function is used to construct correction model of radial distortion, and a progressive complexity strategy is adopted to solve calibration parameters. In case of severe distortion, it corrects the coordinates of all feature points with last solved parameters and rematches the feature points. In this wary, it increases the number of inliers and makes them move from center to peripheral of overlapping area, thus, to improve the accuracy and robustness of lens correction.