A camera calibration method based on iterated extended Kalman filter using planar target

Fuqiang Zhou; Jin Zhai; Guangjun Zhang

doi:10.1117/12.718035

28 October 2006 A camera calibration method based on iterated extended Kalman filter using planar target

Fuqiang Zhou, Jin Zhai, Guangjun Zhang

Proceedings Volume 6358, Sixth International Symposium on Instrumentation and Control Technology: Sensors, Automatic Measurement, Control, and Computer Simulation; 63581M (2006) https://doi.org/10.1117/12.718035
Event: Sixth International Symposium on Instrumentation and Control Technology, 2006, Beijing, China

Abstract

It is proposed a method for camera calibration that could be used in stereo systems as well as in stereo head navigation in this paper. A pinhole camera model and two-dimensional planar target are considered. An Iterated Extended Kalman Filter (IEKF) is used to estimate camera parameters. The method takes the observed feature points of images as the filter input and the estimated value of the intrinsic and extrinsic camera parameters as the filter output. Both computer simulation and real data experiments have been used to test the proposed method, and good results have been obtained. The RMS error of absolute distance between reprojection feature points is about 0.09 pixels in real experiments. The experimental results show IEKF is also a feasible optimization algorithm for on-line camera calibration.

Citation Download Citation

Fuqiang Zhou, Jin Zhai, and Guangjun Zhang "A camera calibration method based on iterated extended Kalman filter using planar target", Proc. SPIE 6358, Sixth International Symposium on Instrumentation and Control Technology: Sensors, Automatic Measurement, Control, and Computer Simulation, 63581M (28 October 2006); https://doi.org/10.1117/12.718035

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