TY - GEN
T1 - Lens distortion correction method based on linear approximation
AU - Qi, Min
AU - Xin, Hongjuan
AU - Li, Ke
AU - Fan, Yangyu
AU - Dong, Yong
AU - Wu, Zhichao
N1 - Publisher Copyright:
© 2015 IEEE.
PY - 2015/12/18
Y1 - 2015/12/18
N2 - Aiming at the influence of lens distortion to imaging measurement system, this paper puts forward an improved method for lens distortion correction based on linear approximation. Firstly, the method solves the radial distortion coefficient linearly based on the principle of cross-ratio invariance under perspective projection. Then a higher precision of the straight line is obtained according to the orthogonal distance fitting. Finally, a comprehensive distortion index function is built to get the distortion coefficient via Gauss-Newton method. Simulation results show that the average correcting error of this method is less than 0.2 pixel, in the case of 800 control points and 0.1 noise standard deviation. With the characteristic of easy to implement, strong robustness and high precision, the method proposed in this paper is suitable for high precision correction in machine vision.
AB - Aiming at the influence of lens distortion to imaging measurement system, this paper puts forward an improved method for lens distortion correction based on linear approximation. Firstly, the method solves the radial distortion coefficient linearly based on the principle of cross-ratio invariance under perspective projection. Then a higher precision of the straight line is obtained according to the orthogonal distance fitting. Finally, a comprehensive distortion index function is built to get the distortion coefficient via Gauss-Newton method. Simulation results show that the average correcting error of this method is less than 0.2 pixel, in the case of 800 control points and 0.1 noise standard deviation. With the characteristic of easy to implement, strong robustness and high precision, the method proposed in this paper is suitable for high precision correction in machine vision.
KW - cross-ratio invariance
KW - Gauss-Newton
KW - index function of distortion
KW - orthogonal distance
UR - http://www.scopus.com/inward/record.url?scp=84962648858&partnerID=8YFLogxK
U2 - 10.1109/ICCACS.2015.7361326
DO - 10.1109/ICCACS.2015.7361326
M3 - 会议稿件
AN - SCOPUS:84962648858
T3 - 2015 International Conference on Computer and Computational Sciences, ICCCS 2015
SP - 75
EP - 78
BT - 2015 International Conference on Computer and Computational Sciences, ICCCS 2015
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - International Conference on Computer and Computational Sciences, ICCCS 2015
Y2 - 27 January 2015 through 29 January 2015
ER -