Automatic Cross-Sectioning Based on Volume Skeleton Trees

Cross-sectioning is one of the popular methods for visualizing complicated inner structures of a 3D volume dataset. The cross-section is expected to represent the characteristics of the dataset appropriately. However, the traditional way using existing systems is not very efficient since they rely heavily on the user's manual trial-and-error control based on his or her knowledge and experience to find good cross-sections. This talk proposes a method for automatically generating characteristic cross-sections from a given volume dataset. To this end, we take advantage of Volume Skeleton Trees (VSTs), a graph that delineates the topological structure of a 3D volume, for automatically generating cross-sections that well represent the topological characteristics of the dataset.

CR CATEGORY:
I.4.10: Computing Methodologies,IMAGE PROCESSING AND COMPUTER VISION, Image Representation
I.3.5: Computer Methodologies,COMPUTER GRAPHICS, Computational Geometry and Object Modeling

Publications

Yuki Mori, Shigeo Takahashi, Takeo Igarashi, Yuriko Takeshima, Issei Fujishiro.: Automatic Cross-Sectioning based on Topological Volume Skeletonization. SmartGraphics 2005, Munich, Germany, 22-24 August 2005, pp.175-184. PDF

Yuki Mori, Shigeo Takahashi, Takeo Igarashi, Yuriko Takeshima and Issei Fujishiro.: Automatic Cross-Sectioning Using 3D Field Topology Analysis. DVD publication at SIGGRAPH 2005 Posters, L.A., August, 2005. (SRC Finalist Award) PDF Poster

Yuki Mori, Shigeo Takahashi, Takeo Igarashi, Yuriko Takeshima, Issei Fujishiro.: Topologically-Based Automatic Cross-Sectioning of Volume Data. Visual Computing 2005, pp.45-50, JapanCJune, 2005D PDF

Yuki Mori, Shigeo Takahashi, Takeo Igarashi, Yuriko Takeshima, Issei Fujichiro.: Automatic Cross-Sectioning Based on Volume Skeleton Tree. IPSJ2005, 4Y-1CTokyo, Japan, March, 2005. PDF