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Visually Compensating Eccentric In-plane Rotations for Image Stabilization on a Rotating Platform

机译:视觉补偿偏心面内旋转以在旋转平台上稳定图像

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For camera systems mounted on a rotating platform, it would be difficult to install the image sensor concentrically with the rotation axis. Free rotors are unmanned aerial vehicles that rotate about its centre of mass for flight. Small changes in mass distribution is sufficient to displace the free rotor’s rotation axis from the camera’s principal axis. This displacement can be modeled as a trochoid equation and the rotation centre of the trochoid for one arch recovered. The algorithm optimally compensates for the image eccentricity in three steps. Firstly, derotating the images about its principal axis. Secondly, computing the optimal values to translate the images in the image stream. Lastly, to shift the images using an affine transformation matrix. The results show that the algorithm is sufficiently accurate to compensate a time-varying rotation and time-varying translation image stream. It is also possible to visually observe the gyroscopic precession of the free rotor.
机译:对于安装在旋转平台上的摄像系统,很难将图像传感器与旋转轴同心安装。自由旋翼是绕其质心旋转以进行飞行的无人机。质量分布的微小变化足以使自由转子的旋转轴与摄像机的主轴移位。可以将这种位移建模为次摆线方程,并恢复一个拱的次摆线的旋转中心。该算法可分三步最佳补偿图像偏心率。首先,使图像绕其主轴旋转。其次,计算最佳值以转换图像流中的图像。最后,使用仿射变换矩阵移动图像。结果表明,该算法具有足够的精度来补偿随时间变化的旋转和随时间变化的平移图像流。还可以目视观察自由转子的陀螺仪进动。

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