28 October 2006 A camera calibration method based on iterated extended Kalman filter using planar target
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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.
© (2006) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Fuqiang Zhou, Fuqiang Zhou, Jin Zhai, Jin Zhai, Guangjun Zhang, 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); doi: 10.1117/12.718035; https://doi.org/10.1117/12.718035
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