摘要
针对机器视觉应用中出现的标定靶面平行于摄像机成像平面的情况,提出对基于RAC(radialalignmentconstraint)摄像机标定算法的改进。建立了该种情形下摄像机标定模型,根据RAC约束的方向不变性、RAC约束的等比例性等特性,使用Levenber-Marquardt算法计算出部分参数,以及利用针孔成像原理求出余下的参数。通过实验对算法进行了验证和分析,结果表明,该算法计算量小,并且具有较高的标定精度。
Aimed at the condition that the calibration board nearly parallels to the imaging plane,an improved algorithm of Tsais’ camera calibration is suggested.At first,a camera calibration model is built.Then,with the invariance direction of RAC,proportionality of RAC and principle of pinhole imaging,camera parameters are estimated by Levenber-Marquardt.At last,experiments are performed to verify the proposed algorithm.The experimental results show that the approach had a small amount of calculation,and can calibrate the camera parameters with good precision.
出处
《计算机工程与设计》
CSCD
北大核心
2011年第3期1019-1022,共4页
Computer Engineering and Design
基金
国家自然科学基金项目(40806011)
