改进稠密双目匹配算法在输电线路基础三维重建的应用研究

三维扫描技术具有准确性强、精度高等优势，在工件尺寸测量、体积测量等方面得到了初步的应用。然而，针对输电线路基础这类大尺寸、低纹理特征的对象，其获得的三维点云较为稀疏，匹配精度还存在一定问题，测量精度无法达到特高压电网建设的要求，应用还存在一定难度。为了解决上述问题，论文建立双目摄像系统的数学模型，通过改进的Census变换和高斯加权操作提高图像匹配代价计算的精度，结合基于纹理信息的图像边缘保留滤波方法,计算得到目标表面的稠密点云，实现了三维表面重建。通过对220千伏电网基建工程进行三维测量实验，实验结果表明论文提出的三维测量方法和系统，测量误差低于1mm，满足输电线路工程基础质量设计和验收规范要求，能够广泛应用于电网基建工程基础验收等环节，提高验收精确度。

Application of 3D Rebuild Based on Improved Dense Binocular Matching Algorithm in Transmission Line Foundation Positioning and Measurement

With great accuracy and high precision, the three-dimensional scanning technology has been preliminary applications in workpiece measurements, volume measurements, etc. However, for the objects of large size and low texture characteristics (like transmission line), the three-dimensional point clouds are more sparse, the matching accuracy is still problematic, and the measurement accuracy cannot meet the requirements of the special high-voltage grid construction, which means that its application may have some difficulties in this regard. In order to solve the above problem, the paper establishes the mathematical model of the binocular camera system. The accuracy of the image matching cost calculation is improved by improved Census transform and Gaussian weighting operation. Combined with the image edge preserving filtering method based on texture information, the dense point cloud of the target surface is calculated, and the 3D surface reconstruction of the measured target is realized by splicing the dense point cloud. Through the 3D measurement experiment of 220 kV grid infrastructure, the results show that the measurement error is less than 1mm. the 3D measurement method and system proposed by the papers, which meet the basic quality design and acceptance requirements of transmission line project, can be widely used in the power grid infrastructure project, to improve the accuracy of acceptance.