一种稳定,高效,高精度的非对角校准方法:用于基于多摄像头的立体视觉测量.
Hao Zheng1, Fajie Duan1, Tianyu Li1
1State Key Laboratory of Precision Measurement Technology and Instruments, Tianjin University, Tianjin 300072, China.
Sensors (Basel, Switzerland)
|October 28, 2023
概括
本研究为立体视觉系统引入了改进的非共平面校准方法,提高了准确性和易用性. 这种新的方法精确地提取特征点,优于复杂3D测量的传统技术.
科学领域:
- 计算机视觉 计算机视觉
- 计量学 计量学 计量学
- 光学工程是指光学工程.
背景情况:
- 传统的非共平面校准方法在多摄像头立体视觉中难以获得准确性和可用性.
- 像的方法这样的现有技术对精确的3D测量存在局限性.
研究的目的:
- 为单眼和双眼相机系统开发新的非共平面校准方法.
- 通过改进特征点提取,提高立体视觉校准的准确性和稳定性.
- 为了在多摄像头系统中同时校准内在和外在参数.
主要方法:
- 建立了一个基于投射和矩阵转换理论的新数学模型.
- 为单眼和双眼系统开发了一种新的非共平面校准方法.
- 提出了一个循环特征点提取方法,使用Otsu区域算法和辐射截面扫描.
主要成果:
- 新的校准方法与和张的方法相比,显示出更高的准确性和操作方便性.
- 功能点提取算法提供了高精度和稳定性,提高了整体校准准确度.
- 实现了对多摄像头系统的内在和外在参数的同时校准.
结论:
- 提出的非共平面校准和特征提取方法为立体视觉测量提供了高精度和稳定性.
- 这些进步适用于复杂的形状和变形测量,包括立体数字图像相关性 (立体DIC).
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