基于0penCV的摄像机标定实现  

Camera Calibration Implementation Based on OpenCV

作　　者：夏乙[1] 罗能[1] 刘自昆[1] 朱庆生[2] 辜永成[1] 王冬[3] 

机构地区：[1]重庆航天职业技术学院,重庆江北区400021 [2]重庆大学计算机学院,重庆沙坪坝区400044 [3]武汉军械士官学校防空火控系,湖北武汉430075

出　　处：《重庆航天职业技术学院学报》2017年第3期44-48,共5页Journal of Chongqing Aerospace Polytechnic

基　　金：重庆市教育委员会科学技术研究项目（项目编号：KJ1728399）

摘　　要：摄像机标定是计算机视觉系统的重要环节和关键研究领域。以摄像机标定技术为研究对象，以针孔相机模型为基础，详细列出了理想摄像机条件下由世界坐标系到图像像素坐标系的转换计算过程。同时，为了提高标定精度，充分考虑了实际摄像机透镜的径向和轴向畸变影像，给出了包含8个参数的畸变模型。通过自制的棋盘网格模板，实现了基于OpenCV2．4．9的摄像机标定，并给出了详细的标定算法流程。实验结果表明，该方法取得了较高的标定精度，可以满足计算机视觉系统的需要。Camera calibration is very important computer. Take camera calibration technology as and also the key research field of vision system in research object and based on the pin-hole camera model, the computation transform process from world coordinate system to image pixel coordinate system was presented detailedly under the condition of idea camera. Meanwhile, To improve calibration accuracy, both real camera lens radial distortion and tangential distortion have been taken into account fully, and the 8 coefficient distortion model was also listed. Through self-made chessboard grid pattern, the camera was successfully calibrated based on OpenCV 2.4.9. And the detailed calibration algorithm flow is given. The experiment results showed that it had high calibration precision. It can meet the needs of computer vision systems.

关 键 词：摄像机标定 OPENCV 计算机视觉 透镜畸变 

分 类 号：TP212[自动化与计算机技术—检测技术与自动化装置]