计算机视觉中，在对景物进行定量分析或对物体进行精确定位时，都需要进行摄像机标定，即准确确定摄影机的内部参数和外部参数，因此寻找新的快速有效的摄像机标定计算方法是计算机视觉应用中的一个重要问题。为也快速有效地进行摄像机的标定，并针对常用的带有一阶径向畸变的摄像机模型，提出了一种线性求解摄像机参数的标定方法，它可分步标定各参数，且全部采用线性方法求解，从而避免了非线性优化中的不稳定性，使得算法更为实用，简单快捷。实验结果表明，该方法具有较高的标定精度，是一种实用的标定方法。

Camera calibration, which is to calculate the intrinsic and extrinsic parameters of a camera in viewing, is one of the basic tasks for analyzing the geometry of a scene and determining the shapes and locations of objects in vision. Since the optical system of a real camera is not correspondence to an ideal pinhole optical system in generating a perspective view, there exist many types of distortions. These distortions must be taken into account in three dimension geometry reconstruction when high precision is needed, and this will cause the relation of perspective transformation nonlinear. Many efforts have been being made to solve the nonlinear calibration problem. This paper deals with camera calibration while radial distortion exists, which is the most common distortion and has a noticeable effect. A new multi step decomposition linear approach of calibration is introduced in this paper, which eliminates the nonlinear iterative calculation processes. The running experiment results show that the new approach is very efficient and the accuracy is good enough.