Dierection-Driven Shape-Based Interpolation of Volume Data

Jiri Hladuvka and Eduard Groeller

To appear at Vision, Modelling and Visualization (VMV01), Stuttgart, Germany, November 21 - 23, 2001


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.


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