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Similarity-based Exploded Views

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

CONFERENCE PAPER: In Proceedings of Smart Graphics 2008, pp. 154–165, 2008. DOI: 10.1007/978-3-540-85412-8_14

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 from which the structure is the highest. 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.

Published

Proceedings of Smart Graphics 2008

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BibTeX

@INPROCEEDINGS{Ruiz-2008-SEV,
  author = {Marc Ruiz and Ivan Viola and Imma Boada and Stefan Bruckner and Miquel
	Feixas and Mateu Sbert},
  title = {Similarity-based Exploded Views},
  booktitle = {Proceedings of Smart Graphics 2008},
  year = {2008},
  pages = {154--165},
  month = aug,
  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 from which the structure is the highest. 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.},
  doi = {10.1007/978-3-540-85412-8_14},
  keywords = {volume visualization, illustrative visualization, exploded views},
  url = {http://www.cg.tuwien.ac.at/research/publications/2008/ruiz-2008-SEV/}
}






 Last Modified: Stefan Bruckner, 2014-09-22