Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/102489
Title: Generation of 3D building models from city area maps
Authors: Martel, Roman
Erdt, Marius
Dong, Chaoqun
Chen, Kan
Johan, Henry
Keywords: Computer Vision
3D Building Models
Engineering::Computer science and engineering
Issue Date: 2019
Source: Martel, R., Dong, C., Chen, K., Johan, H., & Erdt, M. (2019). Generation of 3D building models from city area maps. 14th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications.
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.
URI: https://hdl.handle.net/10356/102489
http://hdl.handle.net/10220/49748
Rights: © 2019 Science and Technology Publications (SCITEPRESS). All rights reserved. This paper was published in 14th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications and is made available with permission of Science and Technology Publications (SCITEPRESS).
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:Fraunhofer Singapore Conference Papers
SCSE Conference Papers

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