Dynamic Mapping of Raster-Data


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Dynamic Mapping of Raster-Data For 3D Geovirtual Environments:

Dynamic Mapping of Raster-Data For 3D Geovirtual Environments Matthias Trapp , Jürgen Döllner Hasso-Plattner-Institute, University of Potsdam, Germany 13 th International Conference on Information Visualisation 14-17 July


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


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

wrap-up: challenges & goals:

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

overview: dynamic texture mapping:

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

texture coordinate generation:

texture coordinate generation Projective texture mapping [Everitt 2001] Orthogonal projection matrix: U V

color transfer functions:

color transfer functions Describes color mapping of data values Define blending equations between mappings

rendering at a glance:

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: # Vertex # Mappings FPS without FPS with FPS loss (%) 1,040,503 3 10.41 9.87 5.19 41,032 4 52.88 51.20 3.18 61,756 27 156.10 27.94 82.10 6 4 1063.83 236.97 77.72 37,404 16 206.21 45.70 77.84 6 6 1075.27 110.54 89.72

application examples:

application examples Hierarchical combination of raster data layers Building category data Traffic frequency data Data Layer: Color Layer : Data Layer: Color Layer :

application examples:

application examples Object or route highlighting Landmark objects Landmark objects Route

application examples:

application examples Projective symbols to facilitate the design of interactive 3D digital maps

application examples:

application examples Focus + context visualization: 2D magic lenses


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

thank you...:

thank you... Contact: Matthias Trapp matthias.trapp@hpi.uni-potsdam.de Jürgen Döllner juergen.doellner@hpi.uni-potsdam.de Computer Graphics System Group www.hpi.uni-potsdam.de/3d Researchgroup 3D-Geoinformation www.3dgi.de

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