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Authors: Xingzi Zhang 1 ; Franziska Lippoldt 1 ; Kan Chen 2 ; Henry Johan 1 and Marius Erdt 3

Affiliations: 1 Nanyang Technological University, Fraunhofer IDM@NTU, Singapore ; 2 Fraunhofer Singapore, Singapore ; 3 Nanyang Technological University, Fraunhofer IDM@NTU, Singapore, Fraunhofer Singapore, Singapore

ISBN: 978-989-758-354-4

Keyword(s): Facade Details Addition, Data-driven, LoD2 CityGML Models.

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.

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Paper citation in several formats:
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 - Volume 1: GRAPP, ISBN 978-989-758-354-4, pages 294-301. DOI: 10.5220/0007507802940301

@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 - Volume 1: GRAPP,},
year={2019},
pages={294-301},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0007507802940301},
isbn={978-989-758-354-4},
}

TY - CONF

JO - Proceedings of the 14th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - 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

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