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Smart city article details
| Title | Geometric Reconstruction Of Buildings By Using Dimension Features |
|---|---|
| ID_Doc | 27951 |
| Authors | Tan C.; Chen M.; Xu W.; Lv X. |
| Year | 2021 |
| Published | Proceedings of SPIE - The International Society for Optical Engineering, 12050 |
| DOI | http://dx.doi.org/10.1117/12.2614188 |
| Abstract | With the high accuracy and reliability, laser scanning has emerged as a powerful platform for surveying, providing surveyors a faster and more convenient measure method. The resulting 3D point cloud could describe the geometric characteristics of the target object in detail, which can well overcome the shortcomings of traditional survey production. This paper proposes a scheme for the geometric reconstruction of buildings based on ground-based 3D laser scanning technology, whose overall process includes: (1) Point cloud registration. (2) Calculation of dimension feature and extraction of building contour lines (3) Build the 3D model by importing the contour lines into SketchUp. (4) Modeling accuracy evaluation. The experimental results show that the method of extracting contour lines through the combination of dimension features and Otsu method is feasible, and the accuracy of the model built by this scheme is reliable. © 2021 SPIE. |
| Author Keywords | 3D Laser Scanning; Digital City; Dimensional Features; Geometric Reconstruction; Otsu; Shannon Entropy |
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