中文摘要：

一维标定物是由三个或三个以上彼此距离已知的共线点构成的．现有文献指出只有当一维标定物做平面运动或者绕固定点转动时，才能实现摄像机的标定．本文的研究结果表明，当多个摄像机同时观察作任意刚体运动的一维标定物时，则该摄像机组能被线性地标定．本文给出一种线性标定算法，并使用最大似然准则对线性算法结果进行精化．模拟实验和真实图像实验都表明本文的算法是有效可行的．

英文摘要：

A one-dimensional calibration object consists of three or more collinear points with known relative positions. It is generally believed that a camera can be calibrated only when a 1D calibration object is in planar motion or rotates around a fixed point. In this paper, it is proved that when a multi-camera is observing a 1D object undergoing general rigid motions synchronously, the camera set can be linearly calibrated. A linear algorithm for the camera set calibration is proposed, and then the linear estimation is further refined using the maximum likelihood criteria. The simulated and real image experiments show that the proposed algorithm is valid and robust.