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|Title:||A data-driven approach for adding facade details to textured LoD2 CityGML models||Authors:||Zhang, Xingzi
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
|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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