Knowledge-based model generalization for truly virtual cities

Itzhak Omer*, Karin Talmor, Asaf Roz

*Corresponding author for this work

Research output: Contribution to conferencePaperpeer-review

Abstract

In this paper, we present a model generalization for truly virtual cities by using the city residents' urban image. Topological analysis of city residents' urban image provides the knowledge base for scale-dependent and context-dependent generalization. The generalization model uses this topological structure to decide which geographic objects will be presented when new scale or perspective emerges during "flying-based" navigation mode of the virtual city user, according to the geographical context and to the user's real time log navigation parameters. The proposed model generalization was implemented by rule-based system on the desk-top virtual model of Tel Aviv city.

Original languageEnglish
StatePublished - 2005
Event8th AGILE International Conference on Geographic Information Science, AGILE 2005 - Estoril, Portugal
Duration: 26 May 200528 May 2005

Conference

Conference8th AGILE International Conference on Geographic Information Science, AGILE 2005
Country/TerritoryPortugal
CityEstoril
Period26/05/0528/05/05

Keywords

  • 3D visualization
  • Model generalization
  • Urban image
  • Virtual cities

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