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Similarity-based exploded views

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

This work has been supported by TIN2007-68066-C04-01 and TIN2007-67982-C02 of the Ministry of Education and Science (Spanish Government), by the MedViz Initiative in Bergen (medviz.uib.no), and by the Austrian Science Fund (FWF) grant no. P18322

© Lecture Notes in Computer Science, 2008, vol. 5166, p. 154-165

Springer Verlag

Author: Ruiz Altisent, Marc
Viola, Ivan
Boada, Imma
Bruckner, Stefan
Feixas Feixas, Miquel
Sbert, Mateu
Date: 2008
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
This work has been supported by TIN2007-68066-C04-01 and TIN2007-67982-C02 of the Ministry of Education and Science (Spanish Government), by the MedViz Initiative in Bergen (medviz.uib.no), and by the Austrian Science Fund (FWF) grant no. P18322
Format: application/pdf
ISSN: 0302-9743 (versió paper)
1611-3349 (versió electrònica)
Document access: http://hdl.handle.net/10256/12311
Language: eng
Publisher: Springer Verlag
Collection: MEC/PN 2007-2010/TIN2007-68066-C04-01
MEC/PN 2007-2010/TIN2007-67982-C02-02
Versió postprint del document publicat a: http://dx.doi.org/10.1007/978-3-540-85412-8_14
Articles publicats (D-IMA)
Is part of: © Lecture Notes in Computer Science, 2008, vol. 5166, p. 154-165
Rights: Tots els drets reservats
Subject: Infografia
Computer graphics
Visualització (Informàtica)
Information display systems
Title: Similarity-based exploded views
Type: info:eu-repo/semantics/article
Repository: DUGiDocs

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