“Automatic cross-sectioning using 3D field topology analysis” by Mori, Takahashi, Igarashi, Takeshima and Fujishiro
Conference:
Type(s):
Title:
- Automatic cross-sectioning using 3D field topology analysis
Presenter(s)/Author(s):
Abstract:
It is difficult to comprehend the inner structures of volume datasets. Several techniques have been proposed to visualize these inner structures, such as volume rendering and isosurface extraction. However, these approaches are still limited in the ability to visualize the detailed structures and users frequently take cross-sections to inspect such detailed structures. The problem is that existing systems require the users to search for an ideal cross-section manually, which involves tweaking many parameters and is tedious and time-consuming. To address this problem, we present a method for automatically generating cross-sections that reveals the characteristic structures of a dataset.
References:
1. Takahashi, S., Takeshima, Y. and Fujishiro, I. 2004. Topological Volume Skeletonization and its application to transfer function design. Graphical Models, 66(1), 22–49.
2. Fujishiro, I., Azuma, T., Takeshima, Y., and Takahashi, S. 2000. Volume data mining using 3D field topology analysis, IEEE Computer Graphics and Applications, 20(5), 46–51.
3. Meibner, M. Web Page {http://www.volvis.org/}.
4. Woo, T. The National Library of Medicine of the National Institutes of Health {http://visual.nlm.nih.gov/data/}.
