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Research on volume measurement technology for rail tanker based on computer vision

机译:基于计算机视觉的铁路油轮体积测量技术研究

摘要

In this paper, a computer vision based volume measurement system for rail tanker is proposed. Considering the complex environment, we propose an accurate identification algorithm of coded point and a precise localization algorithm. By investigating the epipolar geometry among three views, this paper develops a novel method for metric reconstruction of a scene based on the trilinear relations. Through the method of ordering incomplete scattered data presented, we construct a series of cross-section contours for a tanker and achieve a precise reconstruction of the surface of the tanker. Experiments show that, the volume measurement method for rail tanker based on computer vision can be operated with simplicity and high accuracy. © (2012) Trans Tech Publications, Switzerland.
机译:本文提出了一种基于计算机视觉的铁路油轮容积测量系统。考虑到复杂的环境,我们提出了一种精确的编码点识别算法和一种精确的定位算法。通过研究三种视图之间的极线几何,本文开发了一种基于三线性关系的场景度量重建的新方法。通过对不完整散乱数据进行排序的方法,我们为油轮构造了一系列横截面轮廓,并实现了油轮表面的精确重建。实验表明,基于计算机视觉的铁路油轮容积测量方法可以简便,高精度地运行。 ©(2012)瑞士Trans Tech Publications。

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