skip to main content
10.1145/636593.636599acmconferencesArticle/Chapter ViewAbstractPublication Pagesweb3dConference Proceedingsconference-collections
Article

Generation of VRML city models for focus based tour animations: integration, modeling and presentation of heterogeneous geo-data sources

Published:09 March 2003Publication History

ABSTRACT

In order to generate 3D worlds in an automated way it is important to solve the problem of integrating existing 2D and 3D data automatically. We explain some of the issues of this problem in this paper. We also introduce mechanisms for automated generation of integrated 3D geo-data sets, as well as a prototype that implements these. It is necessary to distinguish the different problems and methods for the generation of buildings and other man made structures on the one hand and digital elevation models and land use areas on the other.Using the integrated data and the developed algorithms we work on a strategy for the dynamic generation of 3D tour animations through a virtual city and landscape model that is optimized for a specific tour. We introduce components that allow the generation of a virtual 3D-tour through our demonstration region - the city of Heidelberg - by the automated integration of 2D and 3D data sources to a 3D model. The user is presented with an interactive animation of a 3D scene of a dynamically calculated tour through the hybrid 3D model of Heidelberg focusing on the area around the tour.

References

  1. ABERNATHY, M. AND SHAW, S. 1998. Integrating Geographic Information in VRML Models. In Proceedings of the Third Symposium on the Virtual Reality Modeling Language, Monterey, CA. February 16--19, pp. 107--114. Google ScholarGoogle ScholarDigital LibraryDigital Library
  2. BISHR, Y. AND KUHN, W. 1999. The Role of Ontologies in Modeling Geospatial Features. Muenster, Germany, Institute for Geoinformatics, University of Muenster. IFGI prints. Institute for Geoinformatics, University of Muenster.Google ScholarGoogle Scholar
  3. BRENNER, C., HAALA, N. AND FRITSCH, D. 2001. Towards fully automated 3D city model generation. In Automatic Extraction of Man-Made Objects from Aerial and Space Images III, 2001.Google ScholarGoogle Scholar
  4. BRENNER, C. AND HAALA, N. 2001 Automated Reconstruction of 3D City Models. In Abdelguerfi, M. (ed), 3D Synthetic Environment Reconstruction, Kluwer Academic Publishers, pp. 75--101. Google ScholarGoogle ScholarDigital LibraryDigital Library
  5. COORS, V. AND FLICK, S. 1998. Integrating Levels of Detail in a Web-based 3D-GIS, 6th ACM Symposium on Geographic Information Systems (ACM GIS 98), Washington D.C., USA, 1998. Google ScholarGoogle ScholarDigital LibraryDigital Library
  6. COORS, V. 2001. Feature-preserving Simplification in Web-based 3D-GIS. In Proceedings of International Symposium on Smart Graphics, New York, March 2001.Google ScholarGoogle Scholar
  7. COORS, V. 2002. Dreidimensionale Karten für Location Based Services. In: ZIPF, A. AND STROBL, J. (eds.) 2002. Geoinformation Mobil. Hüthig Verlag. Heidelberg.Google ScholarGoogle Scholar
  8. COORS, V. AND J. ROSSIGNAC, J. 2002 submitted. Guess Connectivity: Delphi Encoding in Edgebreaker. Submitted to Eurographics 2002, Saarbrücken, Germany, September 2002.Google ScholarGoogle Scholar
  9. DOUGLAS, D. AND PEUKER, T. 1973. Algorithms for the reduction of the number of points required to represent a degitised line or its caricature, The Canadian Cartographer, Vol 10. 112--122.Google ScholarGoogle ScholarCross RefCross Ref
  10. DYKES, J. A., MOORE, K. M. AND FAIRBAIRN, D. 1999. From Chernoff to Imhof and Beyond. VRML & Cartography. In Proceedings of the Fourth Symposium on the Virtual Reality Modeling Language, Paderborn, Germany. pp. 99--104. Google ScholarGoogle ScholarDigital LibraryDigital Library
  11. EVANS, S. AND HUDSON-SMITH, A. 2001. Information Rich 3D Computer Modeling of Urban Environments. Centre for Advanced Spatial Analysis Working Paper Series, 35 (http://www.casa.ucl.ac.uk/working_papers.htm).Google ScholarGoogle Scholar
  12. FLICK, S. 1996. An object-oriented framework for the realisation of 3D Geographic Information Systems, Proceedings of 2th joint European conference and exhibition on Geographical Information, Barcelona, Spain, pp 187--196. Google ScholarGoogle ScholarDigital LibraryDigital Library
  13. FLICK, S. 1998. Konzeption eines adaptiven Frameworks für 3D-Geo-Informationssysteme, PhD thesis. Fraunhofer IGD. Darmstadt.Google ScholarGoogle Scholar
  14. HARVEY, F., KUHN, W., PUNDT, H., BISHR, Y., AND RIEDEMANN, C. 1999. Semantic Interoperability: A Central Issue for Sharing Geographic Information. Annals of Regional Science 33 (2), no. Geo-spatial data sharing and standardization (1999): 213--232.Google ScholarGoogle Scholar
  15. KADA, M. 2002. Automatic Generalization of 3D Building Models. In GIS - Geo-Information-Systems. Journal for Spatial Information and Decision Making. 9/2002. 30--36.Google ScholarGoogle Scholar
  16. LANGE, E. 1999. Von der analogen zur GIS-gestützten 3D-Visualisierung bei der Planung von Landschaften. In Geo-Informations-Systeme, 2, pp. 29--37.Google ScholarGoogle Scholar
  17. MALAKA, R. AND ZIPF, A. 2000. DEEP MAP - Challenging IT research in the framework of a tourist information system. In Fesenmaier, D., KLEIN, S. AND BUHALIS, D. (eds.). Information and Communication Technologies in Tourism 2000. Proceedings ENTER.Google ScholarGoogle Scholar
  18. REDDY, M., IVERSON, L., AND LECLERC, Y. G. 2000. Under the Hood of GeoVML 1.0. In Proceedings of The Fifth Web3D/VRML Symposium. Monterey, California. February 21--24, 2000. Google ScholarGoogle ScholarDigital LibraryDigital Library
  19. SMITH, B. AND MARK, D. M. 1998. Ontology and Geographic Kinds. In Proceedings. 8th International Symposium on Spatial Data Handling (SDH 98). Vancouver: International Geographical Union, 1998, 308--320.Google ScholarGoogle Scholar
  20. SOURCE FOR ENVIRONMENTAL REPRESENTATION AND INTERCHANGE (SEDRIS) 2001. www.sedris.org.Google ScholarGoogle Scholar
  21. STUCKENSCHMIDT, H. VISSER, U., SCHUSTER, G. AND VOEGELE, T. 1999. Ontologies for geographic information integration. In Proceedings of the workshop intelligent methods for handling enviromental information: Special aspects of processing space and time., Magdeburg, Germany.Google ScholarGoogle Scholar
  22. VISUALIZATION FOR ALGORITHM DEVELOPMENT (VISAD) 2001. http://www.ssec.wisc.edu/~billh/visad.html.Google ScholarGoogle Scholar
  23. WINKLER 1999. Verkehrsbedingte Luftverunreinigungen und Lärmbelastungen in Heidelberg. Dissertation. Geographisches Institut. Universität Heidelberg. Ibidem.Google ScholarGoogle Scholar
  24. ZIPF, A. AND MALAKA, R. 1999. Web-basierte Planung und animierte Visualisierung von 3D Besichtigungstouren im Rahmen des Touristeninformationssystems Deep Map. In ZAGEL, B. (ed.), GIS in Verkehr und Transport. Huethig Verlag. Heidelberg.Google ScholarGoogle Scholar
  25. ZIPF, A. 2002. User-Adaptive Maps for Location-Based Services (LBS) for Tourism. Proceedings of ENTER Communications Technologies in Tourism. Innsbruck Austria. Springer Computer Science. Heidelberg, Berlin.Google ScholarGoogle ScholarCross RefCross Ref
  26. ZIPF, A. AND RICHTER, K. F. 2002. Using FocusMaps to Ease Map Reading. Developing Smart Applications for Mobile Devices. KI - Künstliche Intelligenz (Artificial Intelligence). Sonderheft/Special issue on: Spatial Cognition.Google ScholarGoogle Scholar

Recommendations

Comments

Login options

Check if you have access through your login credentials or your institution to get full access on this article.

Sign in
  • Published in

    cover image ACM Conferences
    Web3D '03: Proceedings of the eighth international conference on 3D Web technology
    March 2003
    209 pages
    ISBN:1581136447
    DOI:10.1145/636593

    Copyright © 2003 ACM

    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

    Publisher

    Association for Computing Machinery

    New York, NY, United States

    Publication History

    • Published: 9 March 2003

    Permissions

    Request permissions about this article.

    Request Permissions

    Check for updates

    Qualifiers

    • Article

    Acceptance Rates

    Overall Acceptance Rate27of71submissions,38%

    Upcoming Conference

    WEB3D '24
    The 29th International ACM Conference on 3D Web Technology
    September 25 - 27, 2024
    Guimarães , Portugal

PDF Format

View or Download as a PDF file.

PDF

eReader

View online with eReader.

eReader