Code and data underlying the publication: City3D: Large-scale Building Reconstruction from Airborne LiDAR Point Clouds

doi:10.4121/21988673.v1
The doi above is for this specific version of this dataset, which is currently the latest. Newer versions may be published in the future. For a link that will always point to the latest version, please use
doi: 10.4121/21988673
Datacite citation style:
Huang, Jin; Jantien Stoter; Peters, Ravi; Nan, Liangliang (2023): Code and data underlying the publication: City3D: Large-scale Building Reconstruction from Airborne LiDAR Point Clouds. Version 1. 4TU.ResearchData. software. https://doi.org/10.4121/21988673.v1
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite
Software

It implements the hypothesis-and-selection-based building reconstruction method. In this research, we generate a new dataset consisting of the point clouds and reconstructed surface models of 20k real-world buildings.


history
  • 2023-07-19 first online, published, posted
publisher
4TU.ResearchData
organizations
TU Delft, Faculty of Architecture and the Built Environment, Department of Urban Data Science

DATA

To access the source code, use the following command:

git clone https://data.4tu.nl/v3/datasets/7c0e1c11-b9c9-485a-af43-16b0288c17e6.git

Or download the latest commit as a ZIP.

files (1)