Title :
Research issues in model-based visualization of complex data sets
Author :
Rossignac, Jarek R. ; Novak, Miroslav
Author_Institution :
IBM Thomas J. Watson Res. Center, Yorktown Heights, NY, USA
fDate :
3/1/1994 12:00:00 AM
Abstract :
At the most abstract level, data visualization maps discrete values computed over an n-dimensional domain onto pixel colors. It is largely a dimension-reducing process justified by its leverage on human perceptual capacities for extracting information from visual stimuli. The difficulty is to implement a mapping that reveals the data characteristics relevant to the application at hand. Effective visualization solutions let the user control the process parameters interactively and enhance the automatically extracted features. We argue for an intelligent, model-based approach to visualization, which extracts the intrinsic data characteristics and constructs multiresolution graphics models suitable for interactive rendering on commercially available hardware adapters. The model-based approach has four parts, which we summarize.<>
Keywords :
colour; data analysis; data visualisation; rendering (computer graphics); complex data sets; interactive rendering; intrinsic data characteristics; model-based visualization; multiresolution graphics models; pixel colors; Biological materials; Computer graphics; Data mining; Data visualization; Filters; Fuzzy sets; Geometry; Sampling methods; Shape; Time measurement;
Journal_Title :
Computer Graphics and Applications, IEEE