海量激光点云三维数据可视化建模技术研究

Li Qing, Feng Weixi, Chen Huanbin
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引用次数: 2

摘要

随着数字城市的建设和大规模三维数据采集技术的快速发展,航空航天图像的三维激光扫描和密集匹配产生了海量的点云数据。三维点云作为一种新的三维物体的数字化表示方法,以其简单、灵活的特点,逐渐成为各种研究和工程应用中常见的处理对象。三维点云数据可以为三维地理信息系统、仿真与虚拟技术、数字城市建设等构建真实的三维城市模型。如何利用现有的计算机处理能力,对海量的点云数据进行高效的组织和索引,更快速、准确地完成点云数据的三维空间可视化建模,已成为一个重要的研究课题。通过三维激光扫描系统采集大量的点云数据,最后保存到计算机中。通过一些软件处理,重建高精度的三维模型,实现了点云数据的三维重建和快速可视化。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Research on Visualization Modeling Technology of Massive Laser Point Cloud 3D Data
With the construction of digital city and the rapid development of large-scale 3D data acquisition technology, 3D laser scanning and dense matching of aerospace images have produced massive point cloud data. As a new digital representation method of 3D objects, 3D point cloud has gradually become a common processing object in various research and engineering applications because of its simplicity and flexibility. 3D point cloud data can build a real 3D city model for 3D geographic information system, simulation and virtual technology, and digital city construction. How to use the existing computer processing ability to efficiently organize and index the massive point cloud data and complete the 3D spatial visualization modeling of the point cloud data more quickly and accurately has become an important research topic. Massive point cloud data are collected by 3D laser scanning system, and finally saved to the computer. Through some software processing, the high-precision 3D model is reconstructed, and the 3D reconstruction and rapid visualization of point cloud data are realized.
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