Similarity-based Exploded Views

Information

• Publication Type: Conference Paper
• Workgroup(s)/Project(s):
  • ExVisation: Expressive Visualization of Volumetric Data
• Date: 2008
• Lecturer: Miquel Feixas
• Booktitle: Proceedings of Smart Graphics 2008
• Pages: 154 – 165
• Keywords: volume visualization, illustrative visualization, 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 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.

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BibTeX

@inproceedings{ruiz-2008-SEV,
  title =      "Similarity-based Exploded Views",
  author =     "Marc Ruiz and Ivan Viola and Imma Boada and Stefan Bruckner
               and Miquel Feixas and Mateu Sbert",
  year =       "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 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.",
  booktitle =  "Proceedings of Smart Graphics 2008",
  pages =      "154--165",
  keywords =   "volume visualization, illustrative visualization, exploded
               views",
  URL =        "https://www.cg.tuwien.ac.at/research/publications/2008/ruiz-2008-SEV/",
}