Titlebook: Visualization in Scientific Computing ’95; Proceedings of the E Riccardo Scateni,Jarke J. Wijk,Pietro Zanarini Conference proceedings 1995

geometrician

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0946-2767 rement devices. The use of com­ puter graphics for scientific purposes has become a well established discipline, known as Scientific Visualization. Many problems still have to be solved, and hence the field is a very active area for research and development. This book represents results of the sixth

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Metaphors for visualization,The motivation behind this work is to provide an intuitive and natural 3D interface such that users will view these objects as tools during the visualization process. To help achieve this goal, the selection of the object tools are derived from expressions commonly used during visualization. For exa

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Beyond volume rendering: visualization, haptic exploration, and physical modeling of voxel-based obderived from volumetric data. Work in progress that demonstrates the utility of a voxel-based data format for modeling physical interactions between virtual objects is discussed, data structures that help to optimize storage requirements and preserve object integrity during object movement are prese

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On a Unified Visualization Approach for Data from Advanced Numerical Methods,tions and appropriate finite dimensional function spaces for the solutions. The scope of grids under consideration includes structured and unstructured, adaptive and hierarchical, conforming and nonconforming meshes. The function spaces might be of Lagrangian or Hermitian type with higher polynomial

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Raycasting with Opaque Isosurfaces in Nonregularly Gridded CFD Data,xtremely huge datasets that are generated with today’s supercomputers. However, only semi-transparent visualisations have been produced via DVR from nonregularly gridded simulation data so far. Such images provide no information about the data distribution in the viewing direction. This paper report

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On the Optimization of Projective Volume Rendering,tive visualization of datasets represented via tetrahedral tessellations. Direct projective visualization is performed by sorting tetrahedra with respect to view direction and then by projecting them onto the screen. Different sorting algorithms and “per tetrahedra” projection techniques are reviewe

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Direct Volume Rendering of Irregular Samples, any kind of structured grid most visualization tools are not able to display the data without expensive resampling. We show that a simple forward mapping algorithm can handle this problem efficiently, whenever the reconstruction of the volume function uses spherical kernels. Different examples are

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