“A New Camera Calibration Method Taking Blur Effects into Account”

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    A New Camera Calibration Method Taking Blur Effects into Account


    Camera calibration is an important issue in both computer vision and computer graphics. Therefore, many works have been done to obtain camera parameters from real images. One of the most famous calibration methods is proposed by Tsai [Tsai 1987], which uses several feature points of known positions. However, since his method is based on the pinhole camera model, defocus effects made by a real lens system are not concerned. In this paper, we propose a new camera calibration method that takes into account both geo- metric information of feature points and blur width of edges.


    Baba, M., Asada, N., Oda, A., And Migita, T. 2002. A thin lens based camera model for depth estimation from blur and translation by zooming. In Proc. Vision Interface 2002, 274–281.
    Tsai, R. 1987. A versatile camera calibration technique for high-accuracy 3d machine vision metrology using off-the-shelf tv cameras and lenses. IEEE Journal of Robotics and Automation 3, 4, 323–344.


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