首页> 外文期刊>Machine Vision and Applications >Circular coded target system for industrial applications
【24h】

Circular coded target system for industrial applications

机译:用于工业应用的循环编码目标系统

获取原文
获取原文并翻译 | 示例
           

摘要

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. TRI-TOP (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.
机译:编码目标用作相机校准期间具有已知位置的参考目标,用于在机器视觉的各种应用期间鲁棒搜索图像之间的图像之间的相应特征,如对象跟踪,机器人导航或3D测量。本文概述了工业摄影型应用的目标系统。已选择的方法强调最大的鲁棒性,以及以牺牲计算效率为代价的精度,因为摄影测量主要被离线评估。概述系统将广泛使用的摄影测量循环编码目标设计与自动库发生器相结合。它还利用具有误差校正的目标检测和识别的鲁棒方法(在60个15位目标的情况下,最多1位混淆或2位闭塞)以及保持低假阳性或混淆速率。之前没有引入这种类型的任何纠错方法。该解决方案还允许创建多功能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。在挑战条件下测试目标系统的性质(包括大噪声,模糊,闭塞和几何图像转换),并与最先进的系统相比,例如,例如最先进的系统。 Tri-top(gom)或aruco,它优于它。目标系统已经用于在重型工业环境中使用的专业摄影测量系统的相机校准。

著录项

  • 来源
    《Machine Vision and Applications》 |2021年第1期|39.1-39.14|共14页
  • 作者单位

    Institute of Machine and Industrial Design Faculty of Mechanical Engineering Brno University of Technology Technicka 2896/2 616 69 Brno Czech Republic;

    Institute of Machine and Industrial Design Faculty of Mechanical Engineering Brno University of Technology Technicka 2896/2 616 69 Brno Czech Republic;

    Institute of Machine and Industrial Design Faculty of Mechanical Engineering Brno University of Technology Technicka 2896/2 616 69 Brno Czech Republic;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Circular coded target; CCT; Coded target; Fiducial marker; Camera calibration; Photogrammetry;

    机译:循环编码目标;CCT;编码目标;基准标记;相机校准;摄影测量;

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号