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Circular coded target system for industrial applications
Machine Vision and Applications ( IF 2.4 ) Pub Date : 2021-01-15 , DOI: 10.1007/s00138-020-01159-1
Jakub Hurník , Aneta Zatočilová , David Paloušek

Coded targets are used as reference targets with a known location during camera calibration, for robust searching of corresponding features between images during various applications of machine vision like object tracking, robot navigation or 3D measurement. In this paper, a target system for industrial photogrammetric applications is outlined. The methods which have been chosen emphasize maximum robustness, along with accuracy at the expense of computational efficiency, since photogrammetric measurements are mainly evaluated offline. The outlined system combines widely used photogrammetric circular coded target design with an automatic library generator. It also utilizes robust methods of target detection and recognition with error correction (in case of 60 15-bit targets, up to 1 bit confused or 2 bits occluded) along with preserving the low false-positive or confusion rate. Any error correction method for this type of targets was not introduced before. The solution also allows for the creation of versatile target libraries or to work with the existing target libraries of a number of commercial photogrammetric systems. The properties of the target system were tested under challenging conditions (including heavy noise, blur, occlusion and geometrical image transformations) and compared to state-of-the-art systems, e.g. TRITOP (GOM), or ArUco, which it outperforms. The target system is already used for the camera calibration of a specialized photogrammetric system utilized in the heavy industry environment.



中文翻译:

工业应用的循环编码目标系统

编码目标在相机校准期间被用作具有已知位置的参考目标,以在机器视觉的各种应用(例如对象跟踪,机器人导航或3D测量)中可靠地搜索图像之间的对应特征。本文概述了用于工业摄影测量应用的目标系统。选择的方法强调最大的鲁棒性以及准确性,但以计算效率为代价,因为摄影测量通常主要是离线评估的。概述的系统将广泛使用的摄影测量圆形编码目标设计与自动库生成器结合在一起。它还利用可靠的目标检测和识别方法以及纠错功能(对于60个15位目标,最多1位混淆或2位闭塞),同时保持较低的假阳性或混淆率。以前没有针对这种类型的目标引入任何纠错方法。该解决方案还允许创建通用的目标库或与许多商业摄影测量系统的现有目标库一起使用。在具有挑战性的条件下(包括重噪声,模糊,遮挡和几何图像变换)对目标系统的性能进行了测试,并将其与最先进的系统(例如TRITOP(GOM)或ArUco)进行了比较。目标系统已经用于重工业环境中使用的专业摄影测量系统的摄像机校准。该解决方案还允许创建通用的目标库或与许多商业摄影测量系统的现有目标库一起使用。在具有挑战性的条件下(包括重噪声,模糊,遮挡和几何图像变换)对目标系统的性能进行了测试,并将其与最先进的系统(例如TRITOP(GOM)或ArUco)进行了比较。目标系统已经用于重工业环境中使用的专业摄影测量系统的摄像机校准。该解决方案还允许创建通用的目标库或与许多商业摄影测量系统的现有目标库一起使用。在具有挑战性的条件下(包括重噪声,模糊,遮挡和几何图像变换)对目标系统的性能进行了测试,并将其与最先进的系统(例如TRITOP(GOM)或ArUco)进行了比较。目标系统已经用于重工业环境中使用的专业摄影测量系统的摄像机校准。遮挡和几何图像转换),并与最先进的系统(例如TRITOP(GOM)或ArUco)进行比较。目标系统已经用于重工业环境中使用的专业摄影测量系统的摄像机校准。遮挡和几何图像转换),并与最先进的系统(例如TRITOP(GOM)或ArUco)进行比较。目标系统已经用于重工业环境中使用的专业摄影测量系统的摄像机校准。

更新日期:2021-01-15
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