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
Lens distortion calibration using point correspondences
CVPR '97 Proceedings of the 1997 Conference on Computer Vision and Pattern Recognition (CVPR '97)
Camera Calibration with One-Dimensional Objects
IEEE Transactions on Pattern Analysis and Machine Intelligence
The Radial Trifocal Tensor: A Tool for Calibrating the Radial Distortion of Wide-Angle Cameras
CVPR '05 Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Volume 1 - Volume 01
Parameter-Free Radial Distortion Correction with Center of Distortion Estimation
IEEE Transactions on Pattern Analysis and Machine Intelligence
Nonmetric calibration of camera lens distortion: differential methods and robust estimation
IEEE Transactions on Image Processing
Camera Calibration Using Symmetric Objects
IEEE Transactions on Image Processing
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Wide-Angle lenses have broad applications in lots of fields for their larger fields of view. However, image deformation is its main backward. Thus, calibration of distortion parameters of wide-angle lens is an essential procedure for 3D information recovering from 2D images in applications. Based on our 3D welding seam extraction system, we propose a nonlinear calibration method by using calibration grid. This simple method only considers the distortion parameters so that the coupling between internal and external parameters of the camera is avoided. Moreover, it needs only feature point series which satisfy cross-ratio invariability, and need not know the exact position coordinates of the points. The nonlinear optimization is fast since the initial value of the distortion parameters can be obtained with cross-ratio invariability. Experiments show the efficiency and practicality of our method directly.