ISpace: Interactive Volume Data Classification Techniques Using Independent Component Analysis

Authors:
Ikuko Takanashi;Eric B. Lum;Kwan-Liu Ma;Shigeru Muraki
Affiliations:
-;-;-;-
Venue:
PG '02 Proceedings of the 10th Pacific Conference on Computer Graphics and Applications
Year:
2002

Citing 0
Cited 6

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VISSYM'04 Proceedings of the Sixth Joint Eurographics - IEEE TCVG conference on Visualization
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VG'10 Proceedings of the 8th IEEE/EG international conference on Volume Graphics

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Abstract

This paper introduces an interactive classification technique for volume data, called ISpace, which uses Independent Component Analysis (ICA) and a multidimensional histogram of the volume data in a transformed space. Essentially, classification in the volume domain becomes equivalent to interactive clipping in the ICA space, which as demonstrated using several examples is more intuitive and direct for the user to classify data. The result is an opacity transfer function defined for rendering multivariate scalar volume data.