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Real-Time Visualization of Urban Environments

Real-Time Visualization of Urban Environments

Michael Gervautz (ORCID: )
  • Grant DOI 10.55776/P13867
  • Funding program Principal Investigator Projects
  • Status ended
  • Start November 1, 1999
  • End October 31, 2003
  • Funding amount € 113,710
  • Project website

Disciplines

Computer Sciences (100%)

Keywords

    REAL-TIME RENDEREING, VIRTUAL ENVIRONMENTS, URBAN MODELING, WALKTHROUGHS, OCCLUSION CULLING, IMAGE BASED RENDERING

Abstract

Research project P 13867 Real-Time Visualization of Urban Environments Michael GERVAUTZ 11.10.1999 This project aims at the creation of an integrated solution for modeling and real-time visualization of large and medium-scale urban environments as a basis for applications like traffic, driving and architectural simulations, information visualization and location based entertainment. We want to investigate new efficient modeling and rendering methods to create a system that makes it possible to * model large three-dimensional environments of up to a few tens of square kilometers in reasonable time. * allow interactive visualization of this environment. A user should be able to navigate through the environment at about 20 frames per second. Our modeling approach is based on basic geometric, semantic and topological data typically found in CAD and GIS databases. Visual programming is used to specify how a database is translated into a three-dimensional computer graphics model. The main focus of modeling is to allow for the creation of a model that is suitable for interactive rendering on low to high end graphics hardware. To be able to maintain a sufficient frame rate during the rendering of larger environments, we want to investigate new rendering techniques, which involve occlusion culling, ray casting and image caching. These new algorithms shall be combined with existing acceleration methods to obtain an optimized rendering pipeline which makes use of both graphics hardware and CPU power and is in its nature output sensitive. Our main contributions are: * a new modeling framework built on database translation and amplification, that allows the user to specify the model creation in a data-flow oriented visual programming user interface. * a new, faster algorithm for occlusion culling combined with a new algorithm for image-based rendering incorporating image caching and ray casting that are combined to a rendering pipeline for urban walkthroughs.

Project participants
  • Dieter Schmalstieg, Universität Stuttgart , associated research partner

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