Abstract | ||
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Exploded views are often used in illustration to overcome the problem of occlusion when depicting complex structures. In this paper, we propose a volume visualization technique inspired by exploded views that partitions the volume into a number of parallel slabs and shows them apart from each other. The thickness of slabs is driven by the similarity between partitions. We use an information-theoretic technique for the generation of exploded views. First, the algorithm identifies the viewpoint which gives the most structured view of the data. Then, the partition of the volume into the most informative slabs for exploding is obtained using two complementary similarity-based strategies. The number of slabs and the similarity parameter are freely adjustable by the user. |
Year | DOI | Venue |
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2008 | 10.1007/978-3-540-85412-8_14 | Smart Graphics |
Keywords | Field | DocType |
parallel slab,complex structure,volume visualization technique,similarity-based exploded views,structured view,complementary similarity-based strategy,similarity parameter,information-theoretic technique,informative slab,higher order,interaction technique,volume rendering,shape analysis | Computer vision,Entropy rate,Volume visualization,Computer graphics (images),Computer science,Theoretical computer science,Artificial intelligence,Joint entropy,Mutual information,Volumetric data,Partition (number theory),Computer graphics | Conference |
Volume | ISSN | Citations |
5166 | 0302-9743 | 7 |
PageRank | References | Authors |
0.49 | 14 | 6 |
Name | Order | Citations | PageRank |
---|---|---|---|
Marc Ruiz | 1 | 8 | 0.84 |
Ivan Viola | 2 | 660 | 42.16 |
Imma Boada | 3 | 230 | 23.55 |
Stefan Bruckner | 4 | 937 | 58.31 |
Miquel Feixas | 5 | 637 | 45.61 |
Mateu Sbert | 6 | 1108 | 123.95 |