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Smart city article details
| Title | Research On Visualization Modeling Technology Of Massive Laser Point Cloud 3D Data |
|---|---|
| ID_Doc | 45918 |
| Authors | Qing L.; Weixi F.; Huanbin C. |
| Year | 2020 |
| Published | 2020 IEEE Conference on Telecommunications, Optics and Computer Science, TOCS 2020 |
| DOI | http://dx.doi.org/10.1109/TOCS50858.2020.9339749 |
| Abstract | 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. © 2020 IEEE. |
| Author Keywords | Digital city; Point cloud data; Visualization |
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