NTT Cyber Space Laboratories, NTT Corporation, Yokosuka, Kanagawa 239-0847, Japan.
IEEE Trans Image Process. 2010 Jun;19(6):1528-38. doi: 10.1109/TIP.2010.2042118. Epub 2010 Feb 2.
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.
我们提出了一种简单实用的标定技术，仅需在两个正交的一维物体上的五个点（每个物体上有三个共线点，其中一个点是共有的）上就可以有效地估计相机参数。我们从单个图像上观察到的五个点推导出了实现相机标定所需的基本方程，该图像捕捉到了这些物体。我们描述了一种新的相机标定算法，该算法基于基本方程来估计相机参数，并通过束调整技术对其进行优化。我们的方法通过计算机模拟数据和真实图像进行了验证。结果表明，我们的方法得到的相机参数与现有方法得到的参数非常接近。测试表明，我们的方法既有效又实用。
