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Title: An appearance-driven method for converting polygon soup building models for 3D geospatial applications
Authors: Chen, Kan
Johan, Henry
Erdt, Marius
Keywords: Polygon Soup
Engineering::Computer science and engineering
3D Building Model Conversion
Issue Date: 2018
Source: Chen, K., Johan, H., & Erdt, M. (2018). An appearance-driven method for converting polygon soup building models for 3D geospatial applications. 2018 International Conference on Cyberworlds (CW). doi:10.1109/CW.2018.00075
Conference: 2018 International Conference on Cyberworlds (CW)
Abstract: Polygon soup building models are fine for visualization purposes such as in games and movies. They, however, are not suitable for 3D geospatial applications which require geometrical analysis, since they lack connectivity information and may contain intersections internally between their parts. In this paper, we propose an appearance-driven method to interactively convert an input polygon soup building model to a two-manifold mesh, which is more suitable for 3D geospatial applications. Since a polygon soup model is not suitable for geometrical analysis, our key idea is to extract and utilize the visual appearance of the input building model for the conversion. We extract the silhouettes and use them to identify the features of the building. We then generate horizontal cross sections based on the locations of the features and then reconstruct the building by connecting two neighbouring cross sections. We propose to integrate various rasterization techniques to facilitate the conversion. Experimental results show the effectiveness of the proposed method.
DOI: 10.1109/CW.2018.00075
Schools: School of Computer Science and Engineering 
Rights: © 2018 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. The published version is available at:
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:Fraunhofer Singapore Conference Papers
SCSE Conference Papers

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