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Titlebook: Data Visualization; The State of the Art Frits H. Post,Gregory M. Nielson,Georges-Pierre Bo Book 2003 Springer Science+Business Media New Y

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21#
發(fā)表于 2025-3-25 05:20:51 | 只看該作者
22#
發(fā)表于 2025-3-25 09:02:55 | 只看該作者
Visualizing Process Information and the Health Status of Wastewater Treatment Plantsnt. This information allows an early reaction in the case of deviations from an optimal process behavior. Thus the plant can always be operated in an optimal state so that we can be sure that the treated water always meets the environmental standards that are required.
23#
發(fā)表于 2025-3-25 11:38:25 | 只看該作者
24#
發(fā)表于 2025-3-25 15:51:55 | 只看該作者
25#
發(fā)表于 2025-3-25 23:45:36 | 只看該作者
Isosurface Extraction for Large-Scale Data Setsface extraction and describe two methods for view dependent isosurface extraction; building upon our previous research to develop a superior method. We describe the differences between the two techniques and their relative advantages and disadvantages. These methods are particularly useful for remote visualization of very large datasets.
26#
發(fā)表于 2025-3-26 03:58:25 | 只看該作者
Reconstruction Issues in Volume Visualizations, quite some research in the last few years was devoted to improve this situation. This paper surveys the more important methods, emphasizing selected work in function and gradient reconstruction, and gives an overview over the rather new development of exploiting second-order derivatives for volume visualization purposes.
27#
發(fā)表于 2025-3-26 07:40:50 | 只看該作者
Segmentation and Texture-Based Hierarchical Rendering Techniques for Large-Scale Real-Color Biomedices web-based transport mechanisms to transfer the data between the server and the client application. This allows us to access and explore large-scale data sets from remote locations over the Internet. Hierarchical space-subdivision, wavelet compression, and progressive data transmission are used to visualize the data on the client side.
28#
發(fā)表于 2025-3-26 10:07:45 | 只看該作者
Visualization of Multi Dimensional Data Using Structure Preserving Projection Methodseserving projection methods are useful for the analysis of multidimensional data. We discuss two visual forms (glyphs, heightfields) which can be used to represent the output of the projection methods.
29#
發(fā)表于 2025-3-26 14:09:27 | 只看該作者
30#
發(fā)表于 2025-3-26 17:54:20 | 只看該作者
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