Research on the gray distribution model of stripe in structured light 3D measurement

Bang Liu, Q. Xue, P. Sun
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Abstract

Because of the advantages of high measurement accuracy and efficiency, the structured light method has been become a research hotpot in 3D measurement field. The stripe pattern has been widely used in structured light system because of the advantages of anti-noise and high accuracy. Modulated by color and shape of the measurement object, the distribution of the stripe is degenerated. The accuracy of stripe center location, which is a key factor of measurement accuracy, is decreased by the degeneration. In this study, a method for modeling the distribution of stripe in shot image is proposed. Based on the method, several factors which influence the accuracy of locating the stripe center are simulated and analyzed. Furthermore, the performance of typical methods for locating stripe center are simulated. The experiments verified that the method does work. This method not only provide evidence for calculating the measurement accuracy of specific object, but also provide a tool to assess the performance of method for locating stripe center.
结构光三维测量中条纹灰度分布模型研究
结构光方法由于具有测量精度高、效率高等优点,已成为三维测量领域的研究热点。条纹模式由于具有抗噪声和高精度等优点,在结构光系统中得到了广泛的应用。受测量对象的颜色和形状调制,条纹的分布退化。条纹中心定位的精度是影响测量精度的关键因素。本研究提出了一种对镜头图像中条纹分布进行建模的方法。在此基础上,对影响条纹中心定位精度的几个因素进行了仿真分析。此外,还对典型条纹中心定位方法的性能进行了仿真。实验证明该方法是有效的。该方法不仅为计算具体目标的测量精度提供了依据,而且为评价条纹中心定位方法的性能提供了工具。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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