Similarity-Based Exploded Views

Authors:
Marc Ruiz;Ivan Viola;Imma Boada;Stefan Bruckner;Miquel Feixas;Mateu Sbert
Affiliations:
Graphics and Imaging Laboratory, University of Girona, Spain;Department of Informatics, University of Bergen, Norway;Graphics and Imaging Laboratory, University of Girona, Spain;Institute of Computer Graphics and Algorithms, Vienna University of Technology, Austria;Graphics and Imaging Laboratory, University of Girona, Spain;Graphics and Imaging Laboratory, University of Girona, Spain
Venue:
SG '08 Proceedings of the 9th international symposium on Smart Graphics
Year:
2008

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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.