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Similarity-based Exploded Views

Ruiz, Marc; Viola, Ivan; Boada, Imma; Bruckner, Stefan; Feixas, Miquel; Sbert, Mateu
Chapter, Peer reviewed
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URI
https://hdl.handle.net/1956/6594
Date
2008
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  • Department of Informatics [541]
Original version
https://doi.org/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.
Publisher
Springer
Series
Lecture Notes in Computer Science; 5166
Copyright
Copyright Springer-Verlag Berlin Heidelberg 2008

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