Title
Similarity-Based Exploded Views
Abstract
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
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 Ruiz180.84
Ivan Viola266042.16
Imma Boada323023.55
Stefan Bruckner493758.31
Miquel Feixas563745.61
Mateu Sbert61108123.95