A Data-driven Approach for Adding Facade Details to Textured LoD2 CityGML Models

Xingzi Zhang, Franziska Lippoldt, Kan Chen, Henry Johan, Marius Erdt

2019

Abstract

LoD3 CityGML models (with facade elements, e.g., windows and doors) have many applications, however, they are not easy to acquire, while LoD2 models (only roofs and walls) are currently largely available. In this paper, we propose to generate LoD3 models by adding facade details to textured LoD2 models using a data-driven approach. The existing reconstruction-based methods usually require high costs to obtain plausible LoD3 models. Instead, our proposed data-driven method is based on automatically detecting the facade elements from the texture images and interactively selecting matched models from a 3D facade element model database, then deforming and stitching them with the input LoD2 model to generate a LoD3 model. In this manner, our method is free from reconstruction errors, such as non-symmetrical artifacts and noise, and it is practically useful for its simplicity and effectiveness.

Paper Citation

in Harvard Style

Zhang X., Lippoldt F., Chen K., Johan H. and Erdt M. (2019). A Data-driven Approach for Adding Facade Details to Textured LoD2 CityGML Models. In Proceedings of the 14th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2019) - Volume 1: GRAPP; ISBN 978-989-758-354-4, SciTePress, pages 294-301. DOI: 10.5220/0007507802940301

in Bibtex Style

@conference{grapp19,
author={Xingzi Zhang and Franziska Lippoldt and Kan Chen and Henry Johan and Marius Erdt},
title={A Data-driven Approach for Adding Facade Details to Textured LoD2 CityGML Models},
booktitle={Proceedings of the 14th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2019) - Volume 1: GRAPP},
year={2019},
pages={294-301},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0007507802940301},
isbn={978-989-758-354-4},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 14th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2019) - Volume 1: GRAPP
TI - A Data-driven Approach for Adding Facade Details to Textured LoD2 CityGML Models
SN - 978-989-758-354-4
AU - Zhang X.
AU - Lippoldt F.
AU - Chen K.
AU - Johan H.
AU - Erdt M.
PY - 2019
SP - 294
EP - 301
DO - 10.5220/0007507802940301
PB - SciTePress