Previewing Volume Decomposition Through Optimal Viewpoints

Authors Shigeo Takahashi, Issei Fujishiro, Yuriko Takeshima, Chongke Bi

Thumbnail PDF


  • Filesize: 0.89 MB
  • 14 pages

Document Identifiers

Author Details

Shigeo Takahashi
Issei Fujishiro
Yuriko Takeshima
Chongke Bi

Cite AsGet BibTex

Shigeo Takahashi, Issei Fujishiro, Yuriko Takeshima, and Chongke Bi. Previewing Volume Decomposition Through Optimal Viewpoints. In Scientific Visualization: Interactions, Features, Metaphors. Dagstuhl Follow-Ups, Volume 2, pp. 346-359, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2011)


Understanding a volume dataset through a 2D display is a complex task because it usually contains multi-layered inner structures that inevitably cause undesirable overlaps when projected onto the display. This requires us to identify feature subvolumes embedded in the given volume and then visualize them on the display so that we can clarify their relative positions. This article therefore introduces a new feature-driven approach to previewing volumes that respects both the 3D nested structures of the feature subvolumes and their 2D arrangement in the projection by minimizing their occlusions. The associated process begins with tracking the topological transitions of isosurfaces with respect to the scalar field, in order to decompose the given volume dataset into feature components called interval volumes while extracting their nested structures. The volume dataset is then projected from the optimal viewpoint that archives the best balanced visibility of the decomposed components. The position of the optimal viewpoint is updated each time when we peel off an outer component with our interface by calculating the sum of the viewpoint optimality values for the remaining components. Several previewing examples are demonstrated to illustrate that the present approach can offer an effective means of traversing volumetric inner structures both in an interactive and automatic fashion with the interface.
  • Interval volumes
  • viewpoint selection
  • feature-driven approach
  • volume peeling
  • nested structures


  • Access Statistics
  • Total Accesses (updated on a weekly basis)
    PDF Downloads
Questions / Remarks / Feedback

Feedback for Dagstuhl Publishing

Thanks for your feedback!

Feedback submitted

Could not send message

Please try again later or send an E-mail