摘要
针对双目视觉系统测量精度的问题,本文提出并建立了双目视觉系统误差分析模型,分析了摄像机标定精度、镜头参数及系统结构参数对系统测量精度的影响,并结合实验证明了理论的正确性。实验表明,在标定板均匀分布于具有较大深度范围系统的整个可视区域时,增加标定图像数目能有效提高系统精度;在保证系统有效视场的前提下,增大基线距能有效的提高系统测量精度;相机光轴与基线夹角在[55o^70o]取值时,系统测量精度较高。
To improve the measurement accuracy of the binocular vision system, the binocular vision system error model is established. Meanwhile, the influence of camera calibration accuracy and the lens parameters and structural parameters of vision system on system accuracy are analyzed. And the rationality of the theoretical analysis is verified by experiment. The experiment results show that, when placing calibration targets at the different depths relative to the camera of the entire field of view, the system accuracy can be improved effectively by increasing the number of calibration image. The system error can be reduced by increasing the baseline distance in the premise of effective field of view. And the system has higher measurement accuracy while the angle values between the baseline and the optic axial range from 55o to 70o.
出处
《光电工程》
CAS
CSCD
北大核心
2014年第2期6-11,共6页
Opto-Electronic Engineering
基金
国家自然基金项目(61102150)
天津市科技支撑计划重点项目(13ZCZDGX02100)
关键词
双目视觉
误差分析
摄像机标定
镜头景深
binocular vision system
error analysis
camera calibration
depth of field
