The three-dimensional (3D) reconstruction technology based on computer vision has greatly facilitated damage inspection and assessment and construction monitoring of civil engineering. However, there are several problems in its implementation. A new method of 3D reconstruction is hereby proposed in this paper regarding the geometrical characteristics of pictures of buildings. An algorithm can normalize the 3D-reconstructed point cloud model so that its length, width, and height are parallel to the coordinate axis of the world coordinate system, and the absolute scale of the point cloud model can be obtained. Compared with the traditional one, this methodology can maintain better accuracy. This paper establishes the theoretical framework of the methodology, and steps for implementation are given by using digital image processing technology. After analyzing the results of a field experiment, it has been proven that this methodology can make the best use of the geometric features and improve the efficiency of the traditional reconstruction algorithm and therefore result in high accuracy.

中文翻译：

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基于单目视觉的建筑物3D重建方法

基于计算机视觉的三维（3D）重建技术极大地方便了土木工程的损伤检查评估和施工监控。但是，在其实施过程中存在几个问题。针对建筑物图片的几何特征，本文提出了一种新的3D重建方法。一种算法可以对3D重建的点云模型进行归一化处理，使其长、宽、高与世界坐标系的坐标轴平行，从而得到点云模型的绝对尺度。与传统方法相比，这种方法可以保持更好的准确性。本文建立了该方法的理论框架，并利用数字图像处理技术给出了实施步骤。