Previewing Volume Decomposition Through Optimal Viewpoints

Shigeo Takahashi, Issei Fujishiro, Yuriko Takeshima & Chongke Bi
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...