Exploration and analysis of multivariate data play an important role in different domains. This work proposes a simple interface prototype that allows a human user to vi- sually explore multivariate spatial objects, such as images, sequence of images or volume. It uses star coordinates as a widget to display the multivariate data on the computer 2D screen. The user then identifies a feature on this power- ful coordinate system by mapping a selected feature region on that widget to a color and opacity. As a visual result, the feature is rendered on the object?s space composing the use of this maps and the star coordinates projection. Some examples illustrate the potential of this interface.
Citation:
Alex Laier Bordignon, Rener Castro, Helio Lopes, Thomas Lewiner, Geovan Tavares, "Exploratory visualization based on multidimensional transfer functions and star coordinates," sibgrapi, pp.273-280, XIX Brazilian Symposium on Computer Graphics and Image Processing (SIBGRAPI'06), 2006