Title :
A Novel Method for the Distortion Modification of Camera Lens
Author :
Pan, Minghua ; Zhu, Guoli
Author_Institution :
State Key Lab. of Digital Manuf. Equip. & Technol., Huazhong Univ. of Sci. & Technol., Wuhan, China
Abstract :
Lens distortion is one of the main factors affecting camera calibration. To improve the accuracy of calibrating camera, a new approach to modify the lens distortion is proposed. Based on Brown model and pinhole imaging principle, the measurement model of the incident angle is built. The sensibilities of different distortion coefficients in the expression of incident angle are analyzed using Monte Carlo method. According to the analytical results, all the coefficients are united into one vector with different proportion, which greatly simplifies the least squares iterative algorithm that is widely applied to the distortion modification. After analyzing the process of iterative optimization, the experiments of measuring the incident angle are carried out and the distortion coefficients are obtained by iterative optimization. The experiments demonstrate the linearity of the incident angle is enhanced greatly through distortion modification with these coefficients. The repetitiveness of the modification effect is also proved well.
Keywords :
Monte Carlo methods; calibration; cameras; computer vision; iterative methods; least squares approximations; optimisation; Brown model; Monte Carlo method; camera calibration; camera lens; distortion modification; iterative optimization; least squares iterative algorithm; pinhole imaging principle; Monte Carlo; iterative optimization; lens distortion; pinhole;
Conference_Titel :
Optoelectronics and Image Processing (ICOIP), 2010 International Conference on
Conference_Location :
Haiko
Print_ISBN :
978-1-4244-8683-0
DOI :
10.1109/ICOIP.2010.234