Maintaining Semantic Information across Generic 3D Model Editing Operations
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. However, 3D editing techniques fall short of maintai...
Main Authors: | , , , , , , , |
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Format: | Article |
Language: | English |
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MDPI AG
2020-01-01
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Series: | Remote Sensing |
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Online Access: | https://www.mdpi.com/2072-4292/12/2/335 |
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author | Sidan Yao Xiao Ling Fiona Nueesch Gerhard Schrotter Simon Schubiger Zheng Fang Long Ma Zhen Tian |
author_facet | Sidan Yao Xiao Ling Fiona Nueesch Gerhard Schrotter Simon Schubiger Zheng Fang Long Ma Zhen Tian |
author_sort | Sidan Yao |
collection | DOAJ |
description | 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. However, 3D editing techniques fall short of maintaining the semantic information across edit operations if they are not tailored to a specific data model. While semantic information is often lost during edit operations, geometry, UV mappings, and materials are usually maintained. This article presents a data model synchronization method that preserves semantic information across editing operation relying only on geometry, UV mappings, and materials. This enables easy integration of existing and future 3D editing techniques with rich data models. The method links the original data model to the edited geometry using point set registration, recovering the existing information based on spatial and UV search methods, and automatically labels the newly created geometry. An implementation of a Level of Detail 3 (LoD3) building editor for the Virtual Singapore project, based on interactive push-pull and procedural generation of façades, verified the method with 30 common editing tasks. The implementation synchronized changes in the 3D geometry with a CityGML data model and was applied to more than 100 test buildings. |
first_indexed | 2024-04-11T16:35:01Z |
format | Article |
id | doaj.art-abeb14ba5d0944c18ff37860c6899432 |
institution | Directory Open Access Journal |
issn | 2072-4292 |
language | English |
last_indexed | 2024-04-11T16:35:01Z |
publishDate | 2020-01-01 |
publisher | MDPI AG |
record_format | Article |
series | Remote Sensing |
spelling | doaj.art-abeb14ba5d0944c18ff37860c68994322022-12-22T04:13:52ZengMDPI AGRemote Sensing2072-42922020-01-0112233510.3390/rs12020335rs12020335Maintaining Semantic Information across Generic 3D Model Editing OperationsSidan Yao0Xiao Ling1Fiona Nueesch2Gerhard Schrotter3Simon Schubiger4Zheng Fang5Long Ma6Zhen Tian7ETH Zurich, Future Cities Laboratory, Singapore-ETH Centre, Singapore 138602, SingaporeETH Zurich, Future Cities Laboratory, Singapore-ETH Centre, Singapore 138602, SingaporeETH Zurich, Future Cities Laboratory, Singapore-ETH Centre, Singapore 138602, SingaporeGeomatics Engineering (GeoZ) City of Zurich, 8022 Zurich, SwitzerlandEsri R&D Center Zurich, 8005 Zurich, SwitzerlandNanyang Technological University, School of Computer Science and Engineering, Singapore 639798, SingaporeNanyang Technological University, School of Computer Science and Engineering, Singapore 639798, SingaporeDepartment of Computer Science & Engineering, Ohio State University, Columbus, OH 43210, USAMany 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. However, 3D editing techniques fall short of maintaining the semantic information across edit operations if they are not tailored to a specific data model. While semantic information is often lost during edit operations, geometry, UV mappings, and materials are usually maintained. This article presents a data model synchronization method that preserves semantic information across editing operation relying only on geometry, UV mappings, and materials. This enables easy integration of existing and future 3D editing techniques with rich data models. The method links the original data model to the edited geometry using point set registration, recovering the existing information based on spatial and UV search methods, and automatically labels the newly created geometry. An implementation of a Level of Detail 3 (LoD3) building editor for the Virtual Singapore project, based on interactive push-pull and procedural generation of façades, verified the method with 30 common editing tasks. The implementation synchronized changes in the 3D geometry with a CityGML data model and was applied to more than 100 test buildings.https://www.mdpi.com/2072-4292/12/2/335semantic building informationcitygmlbuilding modelmodel matching3d information maintenanceautomatic labeling3d user interface |
spellingShingle | Sidan Yao Xiao Ling Fiona Nueesch Gerhard Schrotter Simon Schubiger Zheng Fang Long Ma Zhen Tian Maintaining Semantic Information across Generic 3D Model Editing Operations Remote Sensing semantic building information citygml building model model matching 3d information maintenance automatic labeling 3d user interface |
title | Maintaining Semantic Information across Generic 3D Model Editing Operations |
title_full | Maintaining Semantic Information across Generic 3D Model Editing Operations |
title_fullStr | Maintaining Semantic Information across Generic 3D Model Editing Operations |
title_full_unstemmed | Maintaining Semantic Information across Generic 3D Model Editing Operations |
title_short | Maintaining Semantic Information across Generic 3D Model Editing Operations |
title_sort | maintaining semantic information across generic 3d model editing operations |
topic | semantic building information citygml building model model matching 3d information maintenance automatic labeling 3d user interface |
url | https://www.mdpi.com/2072-4292/12/2/335 |
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