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3D RECONSTRUCTION BY COMBINING TERRESTRIAL LASER SCANNER DATA AND PHOTOGRAMMETRIC IMAGES

机译:结合地面激光扫描仪数据和摄影测量图像的三维重建

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3D reconstruction of outdoors objects by means of terrestrial laser scanner (TLS) point clouds has been one of the most important and reliable technical methods. However, TLS point clouds have two main drawbacks. They don't have sufficient information about the object texture, and sometimes a complete perspective of the facades cannot be obtained due to irregular circumstances. Photogrammetric images contain the required texture and can be used to generate dense point clouds by further processing. Therefore, a flexible approach for getting 3D information from photogrammetric images is applied within this paper. Two steps are taken in this approach. Firstly, Structure from Motion reconstruction is used to derive orientations and sparse surface information. Secondly, with the resulting orientations and information, the SURE software, which has been developed by the Institute for Photogrammetry at the University of Stuttgart, is applied to obtain dense point clouds. Before 3D modeling, these two kinds of point clouds have to be brought into a common main reference system by means of a Helmert (seven-parameter) transformation and the ICP algorithm. Based on the processed point clouds, the Leica Cyclone software and Trimble's SketchUp can be used to produce geometric and texture-wrapped models. The textured models are shown and the quality of modeling and visualization is validated.
机译:通过地面激光扫描仪(TLS)点云的3D重建户外对象是最重要可靠的技术方法之一。但是,TLS点云有两个主要缺点。它们没有关于对象纹理的足够的信息,有时由于不规则情况,不能获得外墙的完整透视。摄影测量图像包含所需的纹理,可用于通过进一步处理生成密集点云。因此,在本文中应用来自摄影测量图像的3D信息的灵活方法。这种方法采用了两个步骤。首先,来自运动重建的结构用于导出方向和稀疏表面信息。其次,通过由此产生的方向和信息,斯图加特大学摄影测量研究所开发的肯定软件应用于获得密集点云。在3D建模之前,必须通过Helmert(七参数)转换和ICP算法将这两种点云带入公共主参考系统。基于加工点云,Leica Cyclone软件和Trimble的Sketchup可用于生产几何和纹理包装的模型。显示了纹理模型,并验证了建模和可视化质量。

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