Similarity-based exploded views

Marc Ruiz*, Ivan Viola, Imma Boada, Stefan Bruckner, Miquel Feixas, Mateu Sbert

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

11 Scopus citations

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 all 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.

Original languageEnglish
Title of host publicationSMART GRAPHICS, PROCEEDINGS
EditorsA Butz, B Fisher, A Kruger, P Olivier, M Christie
PublisherSpringer-Verlag Berlin Heidelberg
Pages154-+
Number of pages3
ISBN (Print)978-3-540-85410-4
StatePublished - 2008
Externally publishedYes
Event9th International Symposium on Smart Graphics - Rennes, France
Duration: Aug 27 2008Aug 29 2008

Publication series

NameLecture Notes in Computer Science
PublisherSPRINGER-VERLAG BERLIN
Volume5166
ISSN (Print)0302-9743

Conference

Conference9th International Symposium on Smart Graphics
CountryFrance
CityRennes
Period08/27/0808/29/08

Keywords

  • VOLUME VISUALIZATION

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