Dynamic Mapping of RasterData For 3D Geovirtual Environments - PowerPoint PPT Presentation

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Dynamic Mapping of RasterData For 3D Geovirtual Environments

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Dynamic Mapping of RasterData For 3D Geovirtual Environments – PowerPoint PPT presentation

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Title: Dynamic Mapping of RasterData For 3D Geovirtual Environments


1
Dynamic Mapping of Raster-DataFor 3D Geovirtual
Environments
  • Matthias Trapp, Jürgen DöllnerHasso-Plattner-Inst
    itute, University of Potsdam, Germany

13th International Conferenceon Information
Visualisation14-17 July
2
motivation
  • Using 3D geovirtual environments as scenery for
    visualization of dynamic geo-referenced thematic
    data

3
motivation
  • Using 3D geovirtual environments as scenery for
    visualization of dynamic geo-referenced thematic
    data

Preprocessing Time days-hours
Preprocessing Time hours-minutes
Preprocessing Time minutes
4
wrap-up challenges goals
  • Strong coupling of geometry and appearance
  • Real-time rendering constraints
  • Large-scale data sets require specific
    out-of-core renderer
  • Results in (time-consuming) data pre-processing
  • ? Cannot be used to visualize time-critical data
  • Goals
  • partially decoupling geometry and appearance to
  • enable dynamic multi-texture mapping
  • enable color transfer function
  • for a large number of mapping configurations
  • in real-time

5
overview dynamic texture mapping
  • Given input data
  • 3D point (fragment) of original model
  • Data color layers
  • Mapping parameterizations
  • Requested final color
  • Data color layers
  • 1D/2D/3D image/textures
  • data values, masks
  • color gradients

6
texture coordinate generation
  • Projective texture mapping
    Everitt 2001
  • Orthogonal projection matrix

U
V
7
color transfer functions
  • Describes color mapping of data values
  • Define blending equations between mappings

8
rendering at a glance
  • Extending OpenGL/DirectX multi-texturing pipeline
  • Single-pass rendering
  • Per-fragment dynamic texturing using shader
    programs
  • GPU Data representation texture arrays
  • Projective mappings encoded in texture-buffers
  • Performance evaluation

9
application examples
  • Hierarchical combination of raster data layers

Building category data
Traffic frequency data
10
(No Transcript)
11
application examples
  • Object or route highlighting

Route
Landmark objects
Landmark objects
12
(No Transcript)
13
application examples
  • Projective symbols to facilitate the design
    of interactive 3D digital maps

14
application examples
  • Focus context visualization 2D magic lenses

15
conclusions
  • Summary
  • Extendable concept for dynamically mapping 2D
    raster-data
  • Approach based on projective texture mapping
  • Fully-hardware accelerated implementation
  • Limitations
  • Works only for 3D GeoVE that can be approximated
    by a plane
  • Limited texture resolution
  • Future Work
  • Extend color transfer to style transfer functions

16
thank you...
Contact Matthias Trapp matthias.trapp_at_hpi.un
i-potsdam.de Jürgen Döllner
juergen.doellner_at_hpi.uni-potsdam.de
Computer Graphics System Group
www.hpi.uni-potsdam.de/3d Researchgroup
3D-Geoinformation www.3dgi.de
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