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    Item type:Publication,
    A determination method of initial camera parameters for coplanar calibration
    (2009-11-26)
    Sirisantisamrid, Kaset
    ;
    Tirasesth, Kitti
    ;
    Matsuura, Takenobu
    Most coplanar calibration algorithms determine the initial camera parameters from a single image under the assumption that the principal point is known in advance. However, the camera orientations, the shifted principal point and the noise corrupted on images have an influence on the estimated initial camera parameters under the above assumption. This paper proposes a useful method to determine the initial camera parameters for coplanar calibration. The proposed method can determine the initial camera parameters from the single image, wherein the principal point is considered as a parameter. In our experiments, both synthetic and real images are used. The experimental results show that the proposed method provides both stable initial camera parameters and noise robustness for changes of camera orientations, noise levels and shifts of principal point. © ICROS, KIEE and Springer 2009.
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    Item type:Publication,
    Influence of principal point on camera calibration algorithms
    (2009-01-01)
    Sirisantisamrid, Kaset
    ;
    Tirasesth, Kitti
    ;
    Matsuura, Takenobu
    The principal point has influence on the camera parameters determined by most calibration algorithms in which the camera parameters are inaccurate and unstable when the principal point is shifted from the center of image. This paper proposes a simple technique for camera calibration that is insensitive to change the principal point and shows an influence of principal point on camera calibration algorithms. The proposed method starts from defining a set of intermediate parameters in terms of camera parameters. Then, the intermediate parameters, the lens distortion coefficients, the principal point, and the distances between sensors are iteratively computed. Finally, the remaining camera parameters are estimted from the obtained intermediate parameters. In the experimental results, we tested the influence of principal point on camera parameters computed by the proposed method and compared the results with the conventional method.
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    Item type:Publication,
    An influential principal point on camera parameters
    (2008-12-01)
    Sirisantisamrid, Kaset
    ;
    ;
    Tirasesth, Kitti
    ;
    Matsuura, Takenobu
    This paper proposes a method of camera calibration and the influence of principal point on camera parameters. The camera parameters are represented in terms of a set of intermediate parameters. The intermediate parameters and lens distortion coefficients are iteratively computed. The image coordinates are rectified on each cycle of iteration. Once the iteration is terminated, the initial parameters are computed from the obtained intermediate parameters. Then, the camera parameters and distortion coefficients are iteratively computed from the obtained initial parameters and the image coordinates are rectified too. In the experimental results, the proposed method is tested by change principal point to observe the influential principal point on camera parameters and compared the results with the conventional method.
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