基于单幅二维图像的摄像机标定方法研究
A Camera Calibration Method Study Based on Single Two-Dimensional Image
作者: 何信华 ：北京宇航系统工程研究所; 胡绍华 ：北京强度环境研究所; 陈 勇 ：中石油长城钻探工程有限公司录井公司; 杨丽君 ：中国兵器工业第59研究所;
关键词: 摄像机标定； 三维重建； 内外参数； 最小二乘法； Camera Calibration； Three-Dimensional Reconstruction； Internal and External Parameters； The Method of Least Squares
摘要:Abstract: In order to improve the calibration accuracy and efficiency of the camera, a camera calibration method based on single two-dimensional image is proposed in this paper. Method of least squares is used to calculate the mathematical model between the world coordinate system and the computer image coordinate system, so that the problem that the Internal and external camera parameters and difficult to calculate directly and that the calculation accuracy is not high can be solved effectively. Calibration accuracy and reliability are guaranteed and also the calibration efficiency is improved in this method. Under normal circumstances, when there are three-dimensional world coordinates and its computer image coordinates of six known points in the space, then camera calibration can be realized. The calibration accuracy can be further improved if the number of space known point is increased. A large number of calibration image data is tested to improve that this calibration method has high accuracy and small amount of calculation, and improves the reliability and accuracy of the camera calibration. This method has theoretical significance and practical value.
文章引用: 何信华 , 胡绍华 , 陈 勇 , 杨丽君 (2013) 基于单幅二维图像的摄像机标定方法研究。 计算机科学与应用， 3， 23-29. doi: 10.12677/CSA.2013.31005