Employing Complex GPU Data Structures for the Interactive Visualization of Adaptive Mesh Refinement Data

[VGXW07] presented a GPU based non-rigid registration for multi-modal medical image data.. As a draw- back, this approach uses 2D-textures only and omits exploit- ing the full 3D

Based on the general octree structure idea, a GPU-based octree structure is given to generate the sample points which are used to calculate the shortest distance to the triangle

The approach combines projection mapping with a render-to-texture technique in order to bake additional layers of texture or detail into a given texture.. The benefit of our approach

We introduced the HistoPyramid data structure and associated, data-parallel buildup and traversal algorithms as a solution to this problem, and demonstrated its practicality

Treelet nodes are initially created as leaf nodes, in which case they represent individual quads of the surface mesh.. During refinement, a quad is refined into four

A coarse triangle mesh with 5100 vertices (left) is used for collision handling on the CPU while a high-resolution regular grid with 230k particles is simulated on the GPU to get

/ Real-Time High Fidelity Inverse Tone Mapping for Low Dynamic Range Content OpenMP, the GPU one was implemented in C++ using Di-.. rect3D9c for accessing the GPU capabilities and

The potential of our method is demonstrated by an interactive volume rendering of three-dimensional data, where the gradient estimation is directly computed by the field