Correction of radial distortion using a planar checkerboard pattern and its image

We present a method to correct the radial distortion caused by camera lens. The proposed method involves the use of a planar checkerboard pattern. As the radial distortion correction is achieved via a non-iterative process, the proposed method is computationally efficient and very fast. In addition, the proposed method computes the center of radial distortion, which is important to obtain optimal results. The accuracy and robustness of the proposed system are verified on the experimental results of several indoor and outdoor images.

[1]  Sing Bing Kang,et al.  Radial Distortion Snakes , 2001, MVA.

[2]  Branislav Micus ´ ik Estimation of omnidirectional camera model from epipolar geometry , 2003 .

[3]  Til Aach,et al.  CAMERA CALIBRATION FOR FISH-EYE LENSES IN ENDOSCOPYWITH AN APPLICATION TO 3D RECONSTRUCTION , 2007, 2007 4th IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

[4]  Wonpil Yu An embedded camera lens distortion correction method for mobile computing applications , 2003, IEEE Trans. Consumer Electron..

[5]  Gideon P. Stein,et al.  Lens distortion calibration using point correspondences , 1997, Proceedings of IEEE Computer Society Conference on Computer Vision and Pattern Recognition.

[6]  Sing Bing Kang,et al.  Parameter-Free Radial Distortion Correction with Center of Distortion Estimation , 2007, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[7]  Shree K. Nayar,et al.  A general imaging model and a method for finding its parameters , 2001, Proceedings Eighth IEEE International Conference on Computer Vision. ICCV 2001.

[8]  Shree K. Nayar,et al.  Non-metric calibration of wide-angle lenses and polycameras , 1999, Proceedings. 1999 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (Cat. No PR00149).

[9]  H. Opower Multiple view geometry in computer vision , 2002 .

[10]  Lei Wang,et al.  Auto-Calibration of a Compound-Type Omnidirectional Camera , 2005, Digital Image Computing: Techniques and Applications (DICTA'05).

[11]  Zuzana Kukelova,et al.  Two Minimal Problems for Cameras with Radial Distortion , 2007, 2007 IEEE 11th International Conference on Computer Vision.

[12]  O. Faugeras Three-dimensional computer vision: a geometric viewpoint , 1993 .

[13]  Marc Pollefeys,et al.  The radial trifocal tensor: a tool for calibrating the radial distortion of wide-angle cameras , 2005, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05).

[14]  Andrew Zisserman,et al.  Multiple View Geometry in Computer Vision (2nd ed) , 2003 .

[15]  Eric Hayman,et al.  Correcting Radial Distortion by Circle Fitting , 2005, BMVC.

[16]  Til Aach,et al.  Camera Calibration for FishEye Lenses in Endoscopy with an Application to 3 D Reconstruction , 2007 .

[17]  R. Hartley,et al.  A Non-iterative Method for Correcting Lens Distortion from Nine Point Correspondences , 2005 .