Please use this identifier to cite or link to this item:
https://hdl.handle.net/10356/83078
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. | URI: | https://hdl.handle.net/10356/83078 http://hdl.handle.net/10220/49739 |
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: https://doi.org/10.1109/CW.2018.00075 | Fulltext Permission: | open | Fulltext Availability: | With Fulltext |
Appears in Collections: | Fraunhofer Singapore Conference Papers SCSE Conference Papers |
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File | Description | Size | Format | |
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convert_s.pdf | 5.72 MB | Adobe PDF | View/Open |
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