Automatic Reconstruction of Roof Overhangs for 3D City Models

Steffen Goebbels, Regina Pohle-Fröhlich

2023

Abstract

Most current 3D city models, created automatically from cadastral and remote sensing data and represented in CityGML, do not include roof overhangs, although these overhangs are very characteristic for the appearance of buildings. This paper describes an algorithm that procedurally adds such overhangs. When a CityGML model is textured, the size of the overhangs is determined by recognizing overhangs in facade textures. In this case, the method only needs an already existing model in CityGML representation. Alternatively, if an additional point cloud (e.g., from airborne laser scanning) is available, this cloud can be utilized to calculate the overhang sizes. We compare the results of both methods.

Paper Citation

in Harvard Style

Goebbels S. and Pohle-Fröhlich R. (2023). Automatic Reconstruction of Roof Overhangs for 3D City Models. In Proceedings of the 18th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2023) - Volume 1: GRAPP; ISBN 978-989-758-634-7, SciTePress, pages 145-152. DOI: 10.5220/0011604200003417

in Bibtex Style

@conference{grapp23,
author={Steffen Goebbels and Regina Pohle-Fröhlich},
title={Automatic Reconstruction of Roof Overhangs for 3D City Models},
booktitle={Proceedings of the 18th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2023) - Volume 1: GRAPP},
year={2023},
pages={145-152},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011604200003417},
isbn={978-989-758-634-7},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 18th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2023) - Volume 1: GRAPP
TI - Automatic Reconstruction of Roof Overhangs for 3D City Models
SN - 978-989-758-634-7
AU - Goebbels S.
AU - Pohle-Fröhlich R.
PY - 2023
SP - 145
EP - 152
DO - 10.5220/0011604200003417
PB - SciTePress