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Optimization of camera parameter calibration based on a new criterion with effective visual angle

机译:基于具有有效视角的新标准的相机参数校准优化

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The 3-D information obtained from camera, actually 2D image, is given as visual angles, and, so, we should evaluate the accuracy of calibration based on the visual angles. When we evaluate the accuracy, the visual angle, which direction should we take as the reference? True values of the coordinates of the principal points have been ordinarily used as the reference of the visual angle. But, the kind of evaluation criterion makes us overestimate visual angle errors although it is simple, and conforms to a fail-safe principle. And, it also causes us an ill effect that we should change fiducial-chart setup to suit an optimal condition that is given to each camera according to principal distances. We propose a novel criterion for the visual angle evaluation: the calibrated coordinates of principal points are taken as the references of the visual angle. It yields useful results: it markedly decreases visual angle estimation errors, and it also makes the optimal setup condition not vary with the principal distance. Furthermore, we present a useful formula enabling us to estimate calibration error for every camera in advance.
机译:从相机获得的3-D信息实际上是2D图像,作为视觉角度,因此,我们应该评估基于视角的校准的准确性。当我们评估准确性时,视角,我们应该服用哪个方向?主要点的坐标的真实值通常用作视角的参考。但是,这种评估标准使我们高估了视角误差,尽管它很简单,并且符合故障安全原理。而且,它也会导致我们的效果,我们应该改变基准图设置以适应每个摄像机的最佳条件,根据主要距离给出每个摄像机。我们提出了一种用于视角评估的新标准:主要点的校准坐标被视为视角的参考。它产生了有用的结果:它显着降低了视角估计误差,并且它还使最佳设置条件不随主距离而变化。此外,我们提出了一个有用的公式,使我们能够提前估算每个摄像机的校准误差。

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