Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/90067
Title: A data-driven approach for adding facade details to textured LoD2 CityGML models
Authors: Zhang, Xingzi
Lippoldt, Franziska
Chen, Kan
Johan, Henry
Erdt, Marius
Keywords: Data-driven
Facade Details Addition
Engineering::Computer science and engineering
Issue Date: 2019
Source: Zhang, X., Lippoldt, F., Chen, K., Johan, H., & Erdt, M. (2019). A data-driven approach for adding facade details to textured LoD2 CityGML models. GRAPP 2019 : 14th International Conference on Computer Graphics Theory and Applications. doi:10.5220/0007507802940301
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.
URI: https://hdl.handle.net/10356/90067
http://hdl.handle.net/10220/49839
DOI: 10.5220/0007507802940301
Rights: © 2019 SCITEPRESS. All rights reserved. This paper was published in GRAPP 2019 : 14th International Conference on Computer Graphics Theory and Applications and is made available with permission of SCITEPRESS.
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:Fraunhofer Singapore Conference Papers

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