Abstract | ||
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Interval volume serves as a generalized isosurface and represents a three-dimensional subvolume for which the associated scalar filed values lie within a user-specified closed interval. In general, it is not an easy task for novices to specify the scalar field interval corresponding to their ROIs. In order to extract interval volumes from which desirable geometric features can be mined effectively, we propose a, suggestive technique which extracts interval volumes automatically based on the global examination of the field contrast structure. Also proposed here is a simplification scheme for decimating resultant triangle patches to realize efficient transmission and rendition of large-scale Interval volumes. Color distributions as well as geometric features are taken into account to select best edges to be collapsed. In addition, when a user wants to selectively display and analyze the original dataset, the simplified dataset is restructured to the original quality. Several simulated and acquired datasets are used to demonstrate the effectiveness of the present methods. |
Year | DOI | Venue |
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2005 | 10.1117/12.587950 | Visualization and Data Analysis 2005 |
Keywords | Field | DocType |
volume visualization, solid fitting, interval volume, level of detail, triangle decimation | Signal processing,Decimation,Pattern recognition,Level of detail,Scalar (physics),Isosurface,Feature extraction,Artificial intelligence,Interval arithmetic,Scalar field,Mathematics | Conference |
Volume | ISSN | Citations |
5669 | 0277-786X | 0 |
PageRank | References | Authors |
0.34 | 0 | 4 |
Name | Order | Citations | PageRank |
---|---|---|---|
Hiroko Nakamura Miyamura | 1 | 52 | 5.94 |
Yuriko Takeshima | 2 | 364 | 24.93 |
Issei Fujishiro | 3 | 569 | 69.73 |
Takafumi Saito | 4 | 180 | 23.77 |