Research Collection Journal Article Maintaining semantic information across generic 3D model editing operations Author(s): Yao, Sidan; Ling, Xiao; Nueesch, Fiona; Schrotter, Gerhard; Schubiger, Simon; Fang, Zheng; Ma, Long; Tian, Zhen Publication Date: 2020-01 Permanent Link: https://doi.org/10.3929/ethz-b-000405041 Originally published in: Remote Sensing 12(2), http://doi.org/10.3390/rs12020335 Rights / License: Creative Commons Attribution 4.0 International This page was generated automatically upon download from the ETH Zurich Research Collection. For more information please consult the Terms of use. ETH Library remote sensing Article Maintaining Semantic Information across Generic 3D Model Editing Operations Sidan Yao 1 , Xiao Ling 1 , Fiona Nueesch 1, Gerhard Schrotter 2, Simon Schubiger 3,*, Zheng Fang 4, Long Ma 4 and Zhen Tian 5 1 ETH Zurich, Future Cities Laboratory, Singapore-ETH Centre, Singapore 138602, Singapore;
[email protected] (S.Y.);
[email protected] (X.L.); fi
[email protected] (F.N.) 2 Geomatics Engineering (GeoZ) City of Zurich, 8022 Zurich, Switzerland;
[email protected] 3 Esri R&D Center Zurich, 8005 Zurich, Switzerland 4 Nanyang Technological University, School of Computer Science and Engineering, Singapore 639798, Singapore;
[email protected] (Z.F.);
[email protected] (L.M.) 5 Department of Computer Science & Engineering, Ohio State University, Columbus, OH 43210, USA;
[email protected] * Correspondence:
[email protected] Received: 10 December 2019; Accepted: 15 January 2020; Published: 20 January 2020 Abstract: Many of today’s data models for 3D applications, such as City Geography Markup Language (CityGML) or Industry Foundation Classes (IFC) encode rich semantic information in addition to the traditional geometry and materials representation.