Title :
Image warping for calibration and removal of lens distortion
Author_Institution :
Mech. Eng., Victoria Univ., BC, Canada
Abstract :
A method of estimating and removing the distortion associated with camera lenses used in digital image acquisition is presented. The proposed approach is based on the fact that the projection of a straight line is also a straight line: lines are detected and then warped to optimally fit the line support data to idealized line models. The technique requires little supervision and works on any arbitrary image, thus greatly simplifying the task of calibration
Keywords :
calibration; cameras; image processing; iterative methods; optical noise; parameter estimation; photographic lenses; calibration; camera lenses; digital image acquisition; idealized line models; image warping; lens distortion; Calibration; Computer displays; Computer vision; Digital cameras; Digital images; Image analysis; Lenses; Mechanical engineering; Nonlinear distortion; Parameter estimation;
Conference_Titel :
Communications, Computers and Signal Processing, 1993., IEEE Pacific Rim Conference on
Conference_Location :
Victoria, BC
Print_ISBN :
0-7803-0971-5
DOI :
10.1109/PACRIM.1993.407195
