Direction-Driven
Shape-Based Interpolation of Volume Data

Jirí Hladuvka and Eduard Gröller.

Abstract

We present a novel approach to shape-based interpolation of gray-level volume data. In contrast to the segmentation-based techniques our method directly processes the scalar volume requiring no user interaction. The key idea is to perform the interpolation in the directions given by analysis of the eigensystem of the structure tensor. Our method processes a 256 x 256 slice within a couple of seconds yielding satisfactory results. We give a quantitative and a visual comparison to the linear inter-slice interpolation. Analysis of the results lead us to the conclusion that our technique has a strong potential to compete with well-established shape-based interpolation algorithms.


Published

in Proceedings of Vision, Modeling, and Visualization 2001,
Stuttgart, Germany, November 21 - 23, 2001.


Download

Download the PDF paper The paper in PDF format
BibTeX entry
Talk given at VMV '01

Selected Figures
(click to enlarge)

vxt Octahedron CT head Engine
the data set
the data set
the data set
the original
data sets
coloring of the structure tensor
coloring of the structure tensor
coloring of the structure tensor
coloring of
the structure tensor
error of z-dir interpolation
error of z-dir interpolation
error of z-dir interpolation
error volume
of the in-z-dir
interpolation
error of tensor interpolation
error of tensor interpolation
error of tensor interpolation
error volume
of our shape-based
interpolation
  video  
MPEG, 1971 kB

Acknowledgements

This work has been funded by the VisMed project. VisMed is supported by Tiani Medgraph, Vienna and the Forschungsförderungsfonds für die gewerbliche Wirtschaft, Austria.

A part of the work has also been supported by the BandViz project which is supported by FWF under project number 12811.


Project Duration

January - May 2001



This page was last updated by Jiri Hladuvka on January 25, 2002.
If you have any comments, please send a message to jiri@cg.tuwien.ac.at.