摘要
摄像机标定是计算机视觉检测中必不可少的步骤。在现有的摄像机参数标定算法中,纯线性算法标定速度快,但标定精度不是很高;相反如采用非线性搜索算法,标定精度高,但存在标定速度慢以及会出现不收敛现象。通过对现有线性标定算法的研究,提出一种既考虑摄像机的径向和切向畸变,又能实现全线性化求解的全新标定算法——参考像面法。经验证该方法标定速度快、精度较高、算法健壮,适用于大型视觉系统多摄像机的快速标定。
Camera calibration is an indispensable step to obtain 3D geometric information from 2D images in computer vision. Linear algorithm can acquire high-speed calibration with low accuracy. On the contrary, non-linear searching calibration method is high accuracy while its speed is low and divergence usually occurs. Based on the research of linear calibration algorithms, a novel linear solution calibration method concerning about camera radial distortion and tangential distortion is presented, which is referred as referenced image plane method. The method is proved as high speed, high accuracy and robust after experiment, so it meets the need of multi-camera fast calibration in large-scale vision system.
出处
《传感技术学报》
EI
CAS
CSCD
北大核心
2006年第1期166-169,共4页
Chinese Journal of Sensors and Actuators
基金
国家科技部科研院所专项基金资助(SY01院所专项-01)
新世纪优秀人才支持计划资助~~
