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An algorithm for self-calibration in active vision

机译:主动视觉中的自校准算法

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摘要

A new algorithm for the calibration of intrinsic parameters of cameras in active vision is presented. By making two displacements of camera, linear equations are obtained from epipolar structure to slove the scale factors. The trajectories of fretures are used to located the image center. The computation is simple and easy. This method doesn't require special calibration objects or scene structure. The algorithm is implemented and validated on digital simulation and real data image experiments.
机译:提出了一种用于主动视觉相机内在参数校准的新算法。通过对相机进行两次位移,可以从对极结构中获得线性方程式,从而减小比例因子。痕迹的轨迹用于定位图像中心。计算既简单又容易。此方法不需要特殊的校准对象或场景结构。该算法在数字仿真和真实数据图像实验中得以实现和验证。

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