Imaging vector fields using line integral convolution
SIGGRAPH '93 Proceedings of the 20th annual conference on Computer graphics and interactive techniques
Efficiently using graphics hardware in volume rendering applications
Proceedings of the 25th annual conference on Computer graphics and interactive techniques
Tracking scalar features in unstructured datasets
Proceedings of the conference on Visualization '98
A higher-order method for finding vortex core lines
Proceedings of the conference on Visualization '98
Accelerating 3D convolution using graphics hardware (case study)
VIS '99 Proceedings of the conference on Visualization '99: celebrating ten years
HWWS '00 Proceedings of the ACM SIGGRAPH/EUROGRAPHICS workshop on Graphics hardware
Hardware-Accelerated High-Quality Reconstruction on PC Hardware
VMV '01 Proceedings of the Vision Modeling and Visualization Conference 2001
Linear algebra operators for GPU implementation of numerical algorithms
ACM SIGGRAPH 2003 Papers
Accelerating Volume Reconstruction With 3D Texture Hardware
Accelerating Volume Reconstruction With 3D Texture Hardware
Proceedings of the 12th International Conference on Parallel Architectures and Compilation Techniques
A Texture-Based Framework for Spacetime-Coherent Visualization of Time-Dependent Vector Fields
Proceedings of the 14th IEEE Visualization 2003 (VIS'03)
Acceleration Techniques for GPU-based Volume Rendering
Proceedings of the 14th IEEE Visualization 2003 (VIS'03)
Nonlinear diffusion in graphics hardware
EGVISSYM'01 Proceedings of the 3rd Joint Eurographics - IEEE TCVG conference on Visualization
Image Space Advection on graphics hardware
Proceedings of the 21st spring conference on Computer graphics
IEEE Computer Graphics and Applications
Hi-index | 0.00 |
Feature detection in flow fields is a well researched area, but practical application is often difficult due to the numerical complexity of the algorithms preventing interactive use and due to noise in experimental or high-resolution simulation data sets. We present an integrated system that provides interactive denoising, vortex detection, and visualization of vector data on Cartesian grids. All three major phases are implemented in such a way that the system runs completely on a modern GPU once the vector field is downloaded into graphics memory. The application aspect of our paper is two-fold. First, we show how recently presented, prototypical GPU-based algorithms for filtering, numerical computation, and volume rendering can be combined into one productive system by handling all idiosyncrasies of a chosen graphics card. Second, we demonstrate that the significant speedup achieved compared to an optimized software implementation now allows interactive exploration of characteristic structures in turbulent flow fields.