基于计算机视觉的光学口径测量传感器:对非接触表面测量经典跟踪方法的比较研究
Ignas Andrijauskas1, Marius Šumanas1, Andrius Dzedzickis1
1Department of Mechatronics, Robotics and Digital Manufacturing, Faculty of Mechanics, Vilnius Gediminas Technical University (VILNIUS TECH), 10223 Vilnius, Lithuania.
Sensors (Basel, Switzerland)
|October 16, 2025
概括
这项研究为选择用于光学位移传感的计算机视觉算法提供了一个框架. 它系统地评估相位相关性,模板匹配和光学流量,以进行精确的二维表面测量.
科学领域:
- 计算机视觉 计算机视觉
- 计量学 计量学 计量学
- 机器人技术 机器人技术 机器人技术
背景情况:
- 光学位移传感利用计算机视觉进行非接触式,高精度的测量.
- 经典算法通常是基于直觉而不是严格的评估来选择的.
研究的目的:
- 开发一个原则框架来选择和调整计算机视觉算法用于光学位移传感.
- 为经典跟踪算法提供严格,可重复的性能评估.
主要方法:
- 阶段相关性,模板匹配和光流算法的系统比较分析.
- 使用合成图像序列与子像素精确的地面真相.
- 采用虚拟摄像机系统,采用多圈轨迹模式进行受控测试.
主要成果:
- 在不同的送窗口大小 (400x400,200x200像素) 和运动步骤大小中评估算法性能.
- 用于2D表面位移测量的特征追踪性能.
- 确定了影响算法行为的关键因素.
结论:
- 系统性表征使得对光学位移传感的算法进行了明智的选择.
- 超越实证的试错,以获得更可靠的性能.
- 根据特定应用程序要求,方便选择最佳算法.
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