一种逐步求解的新的摄像机线性标定方法

在立体视觉的激光扫描测量系统中，物体的空间坐标与计算机图像坐标之间存在着复杂的非线性映射关系，如果采用完全理想条件来标定系统，一般实验条件下难以获得稳定的解。通过建立基于一阶径向畸变的摄像机数学模型，用线性方程组描述了三维空间坐标点与计算机图像坐标点的关系，并提出“两步法”对摄像机模型中外部参数和内部参数进行逐步求解，完成了摄像机线性标定，从而彻底改变了传统的摄像机标定依赖于非线性优化方法。实验证明，这种标定新技术较以往算法更为快速、简便、实用。

A New Camera Calibration Method by Step-By-Step Order to Seek Solution

There is complex nonlinear mapping between the object space and image space in the 3D machine vision metrology. If we adopt entirely ideal conditions to calibration system, we would not obtain stable solution under common experiment conditions. The relationship between the points of object space and image space in linear equation is deseribed by establishing one stair radial -distorted camera model;and a two -stage method ,which provides the exterior parameters and interior parameters solution through a linear algorithm according to the step-by-step order instead of traditional nonlinear optimization's put forword to complete the camera calibration. It is proved that the new method shows high accuracy,practicality and simplicity.