Title :
An image correction-based approach to camera calibration
Author :
Yang, Yao-Quan ; Zhang, Dong-Sheng ; Gu, Wei ; Lu, Yu-Dong
Author_Institution :
Fac. of Control Sci. & Eng., North China Electr. Power Univ., Baoding, China
Abstract :
In several cases, the lens distortion introduces some error to visual detection. It is necessary and significant to correct the error efficiently for the purpose of extracting the accurate position information of the observed object. We developed a new method for correcting the radial lens distortion based on the pin-hole model with first order radial distortion. The development of the method is motivated through a desire to develop a linear camera calibration technique that requires the calibration of the less extrinsic parameters, and has better real-time character. Both the simulated image and real image are given to denote that this correction method is robust and accurate.
Keywords :
calibration; cameras; computer vision; error correction; lenses; image correction-based approach; lens distortion; linear camera calibration technique; machine vision; pin-hole model; radial distortion; visual detection; Calibration; Cameras; Computational modeling; Error correction; Lenses; Nonlinear distortion; Optical distortion; Optical imaging; Robot vision systems; Robustness;
Conference_Titel :
Machine Learning and Cybernetics, 2004. Proceedings of 2004 International Conference on
Print_ISBN :
0-7803-8403-2
DOI :
10.1109/ICMLC.2004.1380474