Title :
Analytically solving radial distortion parameters
Author :
Graf, Simone ; Hanning, Tobias
Author_Institution :
FORWISS, Passau Univ., Germany
Abstract :
Most camera calibration algorithms consider parameters that define the lens distortion mapping. The usual way to determine these parameters is to minimize a nonlinear optimization problem in the final step of a calibration algorithm. This neglects the fact that given the projection matrix and the calibration data the parameters of a radial distortion can be determined analytically. In this article we show that the problem can be solved in a closed form. We present an algorithm in which this is done and compare it to classic approaches.
Keywords :
calibration; cameras; computer vision; image reconstruction; optimisation; camera calibration algorithm; computer vision; image reconstruction; lens distortion mapping; nonlinear optimization; projection matrix; radial distortion parameter; Algorithm design and analysis; Application software; Calibration; Cameras; Computer vision; Lenses; Nonlinear distortion; Parameter estimation; Polynomials;
Conference_Titel :
Computer Vision and Pattern Recognition, 2005. CVPR 2005. IEEE Computer Society Conference on
Print_ISBN :
0-7695-2372-2
DOI :
10.1109/CVPR.2005.70