Algorithms for detecting and tracking of objects with optical markers in 3D space

机译：在3D空间中使用光学标记检测和跟踪对象的算法

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摘要

To determine the exact positioning of objects with optical markers in real-time we propose the optimization of circle detection and shape recognition algorithms. Using stereo cameras with infrared illumination as the image source the achieved accuracy of coordinate calculation is 1 mm at a distance of 3m.

机译：为了实时确定带有光学标记的物体的精确定位，我们提出了圆形检测和形状识别算法的优化。使用带有红外照明的立体摄像机作为图像源，在3m的距离处达到的坐标计算精度为1mm。

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来源
《2016 XIX IEEE International Conference on Soft Computing and Measurements》|2016年|362-364|共3页
会议地点 St. Petersburg(RU)
作者
N. A. Abramov; M. V. Bolsunovskaya; A. V. Leksashow; D. S. Barinov;
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作者单位

Department of Computer Systems Software Engineering, Peter the Great St. Petersburg Polytechnic University, Russia;

Department of Computer Systems Software Engineering, Peter the Great St. Petersburg Polytechnic University, Russia;

Department of Computer Systems Software Engineering, Peter the Great St. Petersburg Polytechnic University, Russia;

Department of Computer Systems Software Engineering, Peter the Great St. Petersburg Polytechnic University, Russia;

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原文格式 PDF
正文语种 eng
中图分类
关键词
Optical filters; Optical imaging; Optical distortion; Cameras; Optical reflection; Adaptive optics; Image edge detection;

机译：光学滤波器;光学成像;光学畸变;相机;光学反射;自适应光学;图像边缘检测;
入库时间 2022-08-26 13:54:16

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Algorithms for detecting and tracking of objects with optical markers in 3D space

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