CITY RECONSTRUCTION FROM AIRBORNE LIDAR: A COMPUTATIONAL GEOMETRY APPROACH

Author:

Bauchet J.-P.,Lafarge F.

Abstract

Abstract. We introduce a pipeline that reconstructs buildings of urban environments as concise polygonal meshes from airborne LiDAR scans. It consists of three main steps: classification, building contouring, and building reconstruction, the two last steps being achieved using computational geometry tools. Our algorithm demonstrates its robustness, flexibility and scalability by producing accurate and compact 3D models over large and varied urban areas in a few minutes only.

Publisher

Copernicus GmbH

Cited by 8 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Compound 3D building modeling with structure-aware partition and primitive assembly from airborne laser scanning point clouds;International Journal of Digital Earth;2024-07-09

2. Efficient High-Quality Vectorized Modeling of Large-Scale Scenes;International Journal of Computer Vision;2024-05-20

3. Autoencoding tree for city generation and applications;ISPRS Journal of Photogrammetry and Remote Sensing;2024-02

4. Lightweight Reconstruction of Urban Buildings: Data Structures, Algorithms, and Future Directions;IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing;2023

5. 3D point clouds simplification based on geometric primitives and graph-structured optimization;2022 26th International Conference on Pattern Recognition (ICPR);2022-08-21

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