基于正交平面的摄像机自定标

Space Orthogonal Plane and Camera Calibration

提出了一种基于正交平面摄像机定标的新算法。它利用场景中的正交平面，摄像机作五次以上的平移运动，根据每次运动关于平面的单应矩阵建立内参数的线性约束方程组，从而线性地确定内参数。与以往的定标方法相比，文章对摄像机的运动不苛刻，只需控制摄像机作平移运动，这在一般的实验平台上可以很容易地实现，并且线性地确定摄像机所有的五个内参数。模拟实验和真实图象实验表明，文章给出的方法在机器人视觉中具有一定的实用价值。

： In this paper，we have described a new method for camera calibration based on space orthogonal plane．The basic principle of the method is to use the orthogonal plane information in the scene and control the camera to undergo more than five motions of translation．A set of linear constraints on the camera intrinsic parameters is then derived by means of homography matrix．The camera is then linely calibrated．Compared with other methods reported in the literature，the main advantage of our method is that it is less stringent to the camera＇s motion，it only requires the motion of translation，and it is easily realized．Computer simulations and real image experiments indicate that it has some value in the machine vision．