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Prof. Gumhold – TU Dresden

Computer Graphics and Visualization

The Chair of computer graphics and visualization has its research focus on geometry processing and scientific visualization. Cuda related research projects are discussed in the following.

Homepage of the Computer Graphics and Visualization lab (CGV).

Geometry Processing

Data sets that are considered in geometry processing today come from different 3D acquisition techniques and continuously grow in size. This makes parallel in particular GPU based geometry processing indispensable. Research in this direction addresses GPU based 3D reconstruction of surface models in real-time [3,4] and of volumetric models [5,6].

 

Multiple images are merged into data structure [4] … … to reconstructed volumetric model (right). [4]

 

Scientific Visualization

Visualization of Scientific data must often face the challenges of big data in context of GPU. Efficient rendering of higher order surfaces [7], like ellipsoids [8] and stream tubes [9], are essential for the visualization of complex vector and tensor fields. In these applications CUDA has shown its potential to accelerate execution and to simplify the implementation of algorithms on massivley-parallel hardware. One further example are deformable glyphs enphasising interaction forces in molecular dynamics simulations. These can be efficiently visualized utiliziing the NVidia OptiX ray tracing frame work for CUDA. The Visualization Tool MegaMol [1] is designed for visualizing large particle data sets on normal desktop computers by harvesting the power of the GPU. Many costly computations are based on CUDA, like the computation of the solvent accessible surface for protein visualization [2].

 

Features
Deformable glyphs rendered through OptiX GPU-based visualization [9]

 

References

[1] MegaMol – A Prototyping Framework for Particle-based Visualization
Sebastian Grotte, Michael Krone, Christoph Müller, Guido Reina and Thomas Ertl
Visualization and Computer Graphics, IEEE Transactions on
doi: 10.1109/TVCG.2014.2350479

[2] Parallel Contour-Buildup Algorithm for the Molecular Surface
Michael Krone, Sebastian Grottel and Thomas Ertl
in Biological Data Visualization (BioVis), 2011 IEEE Symposium on, 2011, pp. 17-22.

[3] Real-time Dense Geometry from a Handheld Camera
Jan Stühmer, Stefan Gumhold and Daniel Cremers
DAGM Symposium 2010

[4] Parallel Generalized Thresholding Scheme for Live Dense Geometry from a Handheld Camera
Jan Stühmer, Stefan Gumhold and Daniel Cremers
ECCV 2010 Workshop Computer Vision on GPUs

[5] GPU-Based Volumetric Reconstruction and Rendering of Trees From Multiple Images
Vock, Dominik M. M. and Gumhold, Stefan and Spehr, Marcel and Staib, Joachim and Westfeld, Patrick and Maas, Hans-Gerd
The Photogrammetric Record. Volume 27, Issue 138, pages 175-194.

[6] GPU-based Volumetric Reconstruction of Trees From Multiple Images
Dominik Vock, Stefan Gumhold, Marcel Spehr, Patrick Westfeld, Hans-Gerd Maas
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences – Proceedings of the ISPRS Commission V Mid-Term Symposium ‘Close Range Image Measurement Techniques’

[7] Incremental Raycasting of Piecewise Quadratic Surfaces on the GPU
Carsten Stoll, Stefan Gumhold, Hans-Peter Seidel
In Proc. IEEE Symposium on Interactive Raytracing, 141-150, 2006

 [8] Splatting Illuminated Ellipsoids with Depth Correction
Stefan Gumhold, In Proceedings of VMV 2003

 [9] Visualization with stylized line primitives
Carsten Stoll, Stefan Gumhold, In Proceedings of IEEE Visualization 2005

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