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Titlebook: Hierarchical and Geometrical Methods in Scientific Visualization; Gerald Farin,Bernd Hamann,Hans Hagen Conference proceedings 2003 Springe

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樓主: FORGE
51#
發(fā)表于 2025-3-30 10:05:38 | 只看該作者
Jarek Rossignac,Alla Safonova,Andrzej Szymczaktionen als auch Dosierungen um einen Off-label-Gebrauch der jeweiligen Substanz(en), d. h. der Kliniker muss in jedem Einzelfall über den Einsatz entscheiden und eine entsprechende Dokumentation in der Patientenakte vornehmen.
52#
發(fā)表于 2025-3-30 13:47:06 | 只看該作者
53#
發(fā)表于 2025-3-30 19:06:38 | 只看該作者
54#
發(fā)表于 2025-3-30 21:35:50 | 只看該作者
55#
發(fā)表于 2025-3-31 03:44:38 | 只看該作者
Dataflow and Remapping for Wavelet Compression and View-dependent Optimization of Billion-triangle integrated large-scale data visualization approach possible. A shrink-wrapping step converts highly detailed unstructured surfaces of arbitrary topology to the semi-structured meshes needed for wavelet compression. Remapping to triangle bintrees minimizes disturbing “pops” during realtime displaytri
56#
發(fā)表于 2025-3-31 08:57:44 | 只看該作者
Extraction of Crack-free Isosurfaces from Adaptive Mesh Refinement Data,hing-cubes (MC) isosurface extraction scheme that expects vertex-centered data. The use of dual grids also induces gaps between grids of different hierarchy levels. We use an index-based tessellation approach to fill these gaps with “stitch cells.” By extending the standard MC approach to a finite s
57#
發(fā)表于 2025-3-31 10:27:04 | 只看該作者
Edgebreaker on a Corner Table: A Simple Technique for Representing and Compressing Triangulated Sur of integers. The Corner Table requires about 12Vlog2V bits and must be accompanied by a vertex table, which requires 96V bits, if Floats are used. The Corner Table may be derived from the list of independent triangles. For meshes homeomorphic to a sphere, it may be compressed to less that 4V bits b
58#
發(fā)表于 2025-3-31 13:21:15 | 只看該作者
Efficient Error Calculation for Multiresolution Texture-based Volume Visualization,be quite large, yet the set of . error pairs is small. Instead of evaluating the error function for each original voxel, we construct a table of the unique combinations and the number of their occurrences. To evaluate the error, we add the products of the error function for each unique error pair an
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