Large Model Visualization

The complexity of recent datasets is growing faster than the abilities of todays graphics subsystems. In order to reduce or even close the resulting gap, several methods are applied:

Visibility/Occlusion Culling Mesh Reduction Geometry Compression Parallel Graphics

Volume Rendering Point-based Rendering Virtual Environments Feature Extraction ...

We especially look into visibility and occlusion culling methods.

See also the HP / WSI/GRIS Kelvin project, based on HP's jupiter toolkit.

These projects are in cooperation with

• Dirk Bartz, WSI/GRIS, Univ. of Tübingen,
• Michael Meißner, WSI/GRIS, Univ. of Tübingen,
• Dirk Staneker, WSI/GRIS, Univ. of Tübingen,
• Gordon Müller, Institute for Computer Graphics, TU Braunschweig

• Staneker, D., Bartz, D., Straßer, W.:
  " Occlusion Culling in OpenSG PLUS",
  In Computer and Graphics, Vol 27. No. 1, 2004.
  
• Staneker, D., Bartz, D., Meißner, M.:
  " Improving Occlusion Query Efficiency with Occupancy Maps"",
  In IEEE Symposium on Parallel and Large Data Visualization and Graphics, Seattle, 2003.
  
• Bartz, D., Meißner, M., Müller, G.:
  " Efficient Occlusion Culling For Large Model Visualization",
  In F. Post, G. Nielson, GP. Bonneau (Eds): "Data Visualization - The State of the Art",
  Kluwer Academic Publishers, Boston/Dordrecht/London, 2003.
  
Bartz, D.:
" Keynote Talk: Large Model Visualization: Techniques and Applications"",
In WSCG, Plzen, 2003.

• Alexa, M., Bartz, D., Klosowski, J.:
  " Approximate Visual Hulls as Bounding Volumes for Occlusion Culling"",
  In IEEE Visualization Posters, Boston, 2002.
  
• Staneker, D., Bartz, D., Meißner, M.:
  " Using Occupancy Maps for Better Occlusion Query Efficiency (Poster)"",
  In EG Workshop on Rendering, Pisa, 2002.
  
• Meißner, M., Bartz, D., Hüttner, T., Müller, G., and Einighammer, J.:
  " Generation of Decomposition Hierarchies for Efficient Occlusion Culling of
  Large Polygonal Models",
  In Vision,Modeling, and Visualization (VMV 2001), Stuttgart, 2001.
  
• Meißner, M., Bartz, D., Günther, R., and Straßer, W.:
  " Visibility Driven Rasterization",
  In Computer Graphics Forum, Vol. 20, No. 4, 2001.
  
• Bartz, D., Staneker, D., Straßer, W., Cripe, B., Gaskins, T., Orton, K., Carter, M., Johannsen, A., Trom, J.:
  " Jupiter: A Toolkit for Interactive Large Model Visualization",
  In IEEE Symposium on Parallel and Large Data Visualization and Graphics, San Diego, 2001.
  
• Bartz, D., Klosowski, J., and Staneker, D.:
  " k-DOPs as Tighter Bounding Volumes for Better Occlusion Performance",
  In ACM SIGGRAPH Visual Proceedings, Los Angeles, 2001. (approx. 160 KB)
  
• Meißner, M., Bartz, D., G\"unther, R., and Straßer, W :
  " Visibility Driven Rasterization",
  In Computer Graphics Forum, Vol. 20, Nr. 4, 2001.
  
• Meißner, M., Bartz, D., G\"unther, R., and Straßer, W :
  " Visibility Driven Rasterization",
  In Visual Proc. of ACM SIGGRAPH, p. 275 , 2000. (approx. 46 KB)
  
• Bartz, D., Meißner, M., and Hüttner, T. :
  " OpenGL-assisted Occlusion Culling of Large Polygonal Models",
  In Computer and Graphics, Vol 23, No. 5, 1999. (approx. 260 KB)
  
• Meißner, M., Bartz, D., Hüttner, T., Müller, G., and Einighammer, J.:
  " Generation of Subdivision Hierarchies for Efficient Occlusion Culling of
  Large Polygonal Models",
  Technical Report WSI-99-13, ISSN 0946-3852, 1999.
  
• Bartz, D., Meißner, M., and Hüttner, T.:
  " Extending Graphics Hardware for Occlusion Queries in OpenGL".
  In Proceedings of Eurographics/Siggraph Workshop on Graphics Hardware,
  Lisboa, 1998. (approx. 263 KB)