首页> 外文期刊>International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences >REGISTRATION OF 2D DRAWINGS ON A 3D POINT CLOUD AS A SUPPORT FOR THEMODELING OF COMPLEX ARCHITECTURES
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REGISTRATION OF 2D DRAWINGS ON A 3D POINT CLOUD AS A SUPPORT FOR THEMODELING OF COMPLEX ARCHITECTURES

机译:3D点云上的2D图纸注册作为复杂架构的主题的支持

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Laser scanning and photogrammetry methods have seen immense development in the last years. From bulky inaccessible systems, these two 3D recording systems has become more or less ubiquitous, which is also the case in the heritage domain. However, automation in point cloud classification and semantic annotation remains a much studied topic. In this paper, an approach to help the classification of point cloud is presented using the help of existing 2D drawings. The 2D drawings are registered unto the 3D data, to then be used as a support in the 3D modeling step. The developed approach includes the computation of the point cloud cross section and detection of feature points. This is then used in a 3D transformation followed by ICP refinement to properly register the vectorized 2D drawing on the 3D point cloud. Results show that the developed algorithm manages to register the 2D drawing automatically and with promising results. The automatically registered 2D drawing, which often times already includes semantic information, was then used to help classify the point cloud into several architectural classes.
机译:激光扫描和摄影测量方法在过去几年中显示出巨大的发展。从庞大的无法访问的系统中,这两个3D记录系统已经变得或多或少无处不在,这也是遗产域中的情况。然而,点云分类和语义注释中的自动化仍然是一个很多研究的主题。在本文中,使用现有2D附图的帮助,提出了一种帮助点云分类的方法。将2D附图注册到3D数据,然后将其用作3D建模步骤中的支持。开发方法包括计算点云横截面和特征点的检测。然后将其用于3D变换,然后是ICP细化,以正确地注册3D点云上的矢量化2D绘图。结果表明,发达的算法管理自动注册2D绘图,并具有有前途的结果。然后,通常已经包括语义信息的自动注册的2D绘图,然后用于帮助将点云分为几个架构类。

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