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Simple Camera Calibration From a Single Image Using Five Points on Two Orthogonal 1-D Objects

机译:使用两个正交一维对象上的五个点从单个图像进行简单的相机校准

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摘要

We propose a simple and practical calibration technique that effectively estimates camera parameters from just five points on two orthogonal 1-D objects, each which has three collinear points, one of which is shared. We derive the basic equations needed to realize camera calibration from just five points observed on a single image that captures the objects. We describe a new camera calibration algorithm that estimates the camera parameters based on the basic equations and optimizes them by the bundle adjustment technique. Our method is validated by both computer simulated data and real images. The results show that the camera parameters yielded by our method are close to those yielded by existing methods. The tests demonstrate that our method is both effective and practical.
机译:我们提出了一种简单实用的校准技术,该技术可以从两个正交的一维对象上的五个点有效地估算相机参数,每个对象都具有三个共线点,其中一个点是共享的。我们从捕获对象的单个图像上仅观察到的五个点得出实现相机校准所需的基本方程式。我们描述了一种新的相机校准算法,该算法根据基本方程式估算相机参数,并通过束调整技术对其进行优化。我们的方法已通过计算机模拟数据和真实图像验证。结果表明,我们的方法产生的相机参数与现有方法产生的参数接近。测试证明我们的方法是有效和实用的。

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