Area and volume coherence for efficient visualization of 3D scalar functions
VVS '90 Proceedings of the 1990 workshop on Volume visualization
Raytracing irregular volume data
VVS '90 Proceedings of the 1990 workshop on Volume visualization
A polygonal approximation to direct scalar volume rendering
VVS '90 Proceedings of the 1990 workshop on Volume visualization
Visibility-ordering meshed polyhedra
ACM Transactions on Graphics (TOG)
Sorting and hardware assisted rendering for volume visualization
VVS '94 Proceedings of the 1994 symposium on Volume visualization
Hardware-accelerated volume and isosurface rendering based on cell-projection
Proceedings of the conference on Visualization '00
Parallelizing a high accuracy hardware-assisted volume renderer for meshes with arbitrary polyhedra
PVG '01 Proceedings of the IEEE 2001 symposium on parallel and large-data visualization and graphics
A two-step approach for interactive pre-integrated volume rendering of unstructured grids
VVS '02 Proceedings of the 2002 IEEE symposium on Volume visualization and graphics
Cell-projection of cyclic meshes
Proceedings of the conference on Visualization '01
Climate Modeling with Spherical Geodesic Grids
Computing in Science and Engineering
Hardware-Based View-Independent Cell Projection
IEEE Transactions on Visualization and Computer Graphics
A Fast High Accuracy Volume Renderer for Unstructured Data
VV '04 Proceedings of the 2004 IEEE Symposium on Volume Visualization and Graphics
Texture-Encoded Tetrahedral Strips
VV '04 Proceedings of the 2004 IEEE Symposium on Volume Visualization and Graphics
Hardware-Based Ray Casting for Tetrahedral Meshes
Proceedings of the 14th IEEE Visualization 2003 (VIS'03)
Mean value coordinates for arbitrary planar polygons
ACM Transactions on Graphics (TOG)
Scalable Hybrid Unstructured and Structured Grid Raycasting
IEEE Transactions on Visualization and Computer Graphics
High-Quality, Semi-Analytical Volume Rendering for AMR Data
IEEE Transactions on Visualization and Computer Graphics
A Comparison of Gradient Estimation Methods for Volume Rendering on Unstructured Meshes
IEEE Transactions on Visualization and Computer Graphics
Exascale computing technology challenges
VECPAR'10 Proceedings of the 9th international conference on High performance computing for computational science
Interactive Volume Visualization of General Polyhedral Grids
IEEE Transactions on Visualization and Computer Graphics
Efficient data IO for a Parallel Global Cloud Resolving Model
Environmental Modelling & Software
High-quality lighting and efficient pre-integration for volume rendering
VISSYM'04 Proceedings of the Sixth Joint Eurographics - IEEE TCVG conference on Visualization
Memory efficient GPU-based ray casting for unstructured volume rendering
SPBG'08 Proceedings of the Fifth Eurographics / IEEE VGTC conference on Point-Based Graphics
Hi-index | 0.00 |
Geodesic grids are commonly used to model the surface of a sphere and are widely applied in numerical simulations of geoscience applications. These applications range from biodiversity, to climate change and to ocean circulation. Direct volume rendering of scalar fields defined on a geodesic grid facilitates scientists in visually understanding their large scale data. Previous solutions requiring to first transform the geodesic grid into another grid structure (e.g., hexahedral or tetrahedral grid) for using graphics hardware are not acceptable for large data, because such approaches incur significant computing and storage overhead. In this paper, we present a new method for efficient ray casting of geodesic girds by leveraging the power of Graphics Processing Units (GPUs). A geodesic grid can be directly fetched from storage or streamed from simulations to the rendering stage without the need of any intermediate grid transformation. We have designed and implemented a new analytic scheme to efficiently perform value interpolation for ray integration and gradient calculations for lighting. This scheme offers a more cost-effective rendering solution over the existing direct rendering approach. We demonstrate the effectiveness of our rendering solution using real-world geoscience data.