A new algorithm to correct fish-eye- and strong wide-angle-lens-distortion from single images

• Published in: 2001 International Conference on Image Processing Vol. 1; pp. 225 - 228 vol.1
• Main Authors: Brauer-Burchardt, C., Voss, K.
• Format: Conference Proceeding
• Language: English
• Published: IEEE 2001
• Subjects: Calibration; Cameras; Computer science; Distortion measurement; Image reconstruction; Least squares approximation; Lenses; Linearity; Nonlinear distortion; Optical distortion
• ISBN: 0780367251; 9780780367258
• DOI: 10.1109/ICIP.2001.958994

The use of super-wide angle and fish-eye lenses causes strong distortions in the resulting images. A methodology for the correction of distortions in these cases using only single images and linearity of imaged objects is presented. Contrary to most former algorithms, the algorithm discussed here does not depend on information about the real world co-ordinates of matching points. Moreover reference points determination and camera calibration is not required in this case. The algorithm is based on circle fitting. It requires only the possibility of the extraction of distorted image points from straight lines in the 3D scene. Further, the actual distortion must approximately fit the chosen distortion model. For most fish-eye lenses appropriate distortion correction results can be obtained.