一种同心圆编码靶标的解码与定位方法  

3D Control Point Coordinate Positioning Based on Concentric Circle Coded Target

作　　者：张峻榕 刘柯健 张震 宋银良 彭涛 张之江[1] Zhang Junrong

机构地区：[1]上海大学通信与信息工程学院,上海200444 [2]上海航天电子技术研究所,上海201109 [3]上海宇航系统工程研究所,上海201108

出　　处：《工业控制计算机》2023年第1期48-50,共3页Industrial Control Computer

摘　　要：针对大视场三维视觉测量时,被测目标特征点难以直接提取或不易精准匹配场景的问题,提出一种同心圆编码靶标的解码与定位方法,利用轮廓提取、连接弧段、椭圆匹配等方法确定靶标区域,并基于交比不变原理实现其中心定位,通过枚举标准信号并比较相关性实现解码。在被测目标表面部署该靶标作为特征点后,针对其图样进行定位与解码,即可利用视觉测量系统在大视场、干扰多的环境下进行高精度的三维视觉测量。实验结果表明,该方法可在物距约30 m时采集的复杂场景图像中准确定位并解码合作靶标。For the scenario that the feature points of the target under test are difficult to be extracted directly or matched accurately focused on the large field of view 3D visual measurement,a decoding and localization method of concentric circle coded target is proposed to determine the target area through contour extraction in this paper,arc segments connecting and ellipse matching,and realize its center localization based on cross ratio invariance principle,decoding by enumerating standard signals and comparing correlation.After deploying the target as a feature point on the surface of the target under test,the localization and decoding are performed for its pattern,and the vision measurement system can be used to perform high-precision 3D vision measurement in the environment with large field of view and many disruptions.The experimental results show that this method can accurately locate and decode the cooperative target under the circumstances of complex scene images acquired at the object distance of about 30 m.

关 键 词：同心圆特征 编码靶标 目标识别 三维定位 视觉测量 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]