Constructing 3D City Models by Merging Ground-Based and Airborne Views
Abstract
In this paper, we present a fast approach to automated generation of textured 3D city models with both high details at ground level, and complete coverage for bird’s-eye view. A close-range facade model is acquired at the ground level by driving a vehicle equipped with laser scanners and a digital camera under normal traffic conditions on public roads; a far-range Digital Surface Model (DSM), containing complementary roof and terrain shape, is created from airborne laser scans, then triangulated, and finally texture-mapped with aerial imagery. The facade models are first registered with respect to the DSM using Monte-Carlo-Localization, and then merged with the DSM by removing redundant parts and filling gaps. The developed algorithms are evaluated on a data set acquired in downtown Berkeley.
Cite
Text
Früh and Zakhor. "Constructing 3D City Models by Merging Ground-Based and Airborne Views." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2003. doi:10.1109/CVPR.2003.1211517Markdown
[Früh and Zakhor. "Constructing 3D City Models by Merging Ground-Based and Airborne Views." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2003.](https://mlanthology.org/cvpr/2003/fruh2003cvpr-constructing/) doi:10.1109/CVPR.2003.1211517BibTeX
@inproceedings{fruh2003cvpr-constructing,
title = {{Constructing 3D City Models by Merging Ground-Based and Airborne Views}},
author = {Früh, Christian and Zakhor, Avideh},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition},
year = {2003},
pages = {562-569},
doi = {10.1109/CVPR.2003.1211517},
url = {https://mlanthology.org/cvpr/2003/fruh2003cvpr-constructing/}
}