|Title||A Cluster-Space Visual Interface for Arbitrary Dimensional Classification of Volume Data
|in||in Proceedings of the Joint Eurographics-IEEE TVCG Symposium on Visualization 2004|
Fan-Yin Tzeng, Kwan-Liu Ma |
Oliver Deussen, Charles D. Hansen, Daniel Keim, Dietmar Saupe |
|Organization|| The Joint Eurographics-IEEE TVCG Symposium on Visualization 2004|
In volume visualization, users typically specify transfer functions to classify the data and assign visual attributes to each material class. Higher-dimensional classication makes it easier to differentiate material classes since more data properties are considered. One of the difculties in using higher-dimensional classication is the absence of
appropriate user interfaces. We introduce an intuitive user interface that allows the user to work in the cluster space, which shows the material classes with a set of material widgets, rather than work in the transfer function space. This interface not only provides the user the capability to specify arbitrary-dimensional transfer functions, but also allows the user to operate directly on the classication and visualization results.