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Authors: Roman Martel 1 ; Chaoqun Dong 1 ; Kan Chen 1 ; Henry Johan 2 and Marius Erdt 3

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

Keyword(s): Computer Vision, 3D Building Models, City Area Maps, Text Recognition, Deep Learning.

Related Ontology Subjects/Areas/Topics: Applications and Services ; Computer Vision, Visualization and Computer Graphics ; Image and Video Analysis ; Imaging for Cultural Heritage (Modeling/Simulation, Virtual Restoration) ; Segmentation and Grouping

Abstract: In this paper, we propose a pipeline that converts buildings described in city area maps to 3D models in the CityGML LOD1 standard. The input documents are scanned city area maps provided by a city authority. The city area maps were recorded and stored over a long time period. This imposes several challenges to the pipeline such as different font styles of typewriters, handwritings of different persons, varying layout, low contrast, damages and scanning artifacts. The novel and distinguishing aspect of our approach is its ability to deal with these challenges. In the pipeline we, firstly, identify and analyse text boxes within the city area maps to extract information like height and location of its described buildings. Secondly, we extract the building shapes based on these locations from an online city map API. Lastly, using the extracted building shapes and heights, we generate 3D models of the buildings.

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Paper citation in several formats:
Martel, R.; Dong, C.; Chen, K.; Johan, H. and Erdt, M. (2019). Generation of 3D Building Models from City Area Maps. In Proceedings of the 14th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2019) - Volume 4: VISAPP; ISBN 978-989-758-354-4; ISSN 2184-4321, SciTePress, pages 569-576. DOI: 10.5220/0007554905690576

@conference{visapp19,
author={Roman Martel. and Chaoqun Dong. and Kan Chen. and Henry Johan. and Marius Erdt.},
title={Generation of 3D Building Models from City Area Maps},
booktitle={Proceedings of the 14th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2019) - Volume 4: VISAPP},
year={2019},
pages={569-576},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0007554905690576},
isbn={978-989-758-354-4},
issn={2184-4321},
}

TY - CONF

JO - Proceedings of the 14th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2019) - Volume 4: VISAPP
TI - Generation of 3D Building Models from City Area Maps
SN - 978-989-758-354-4
IS - 2184-4321
AU - Martel, R.
AU - Dong, C.
AU - Chen, K.
AU - Johan, H.
AU - Erdt, M.
PY - 2019
SP - 569
EP - 576
DO - 10.5220/0007554905690576
PB - SciTePress