James M. Kukla

Learn More
This paper describes aminimally immersive three-dimensional volumetric interactive information visualization system for management and analysis of document corpora. The system, SFA, uses glyph-based volume rendering, enabling more complex data relationships and information attributes to be visualized than traditional 2D and surface-based visualization(More)
An approach to visualizing authorship and writing style of free-form text documents is described. This approach uses n-grams and latent semantic indexing (LSI) to cluster documents according to usage patterns of related n-gram “terms”. Latent semantic indexing distributes documents nnd terms into a relatively low-dimensional space, which can be viwcd(More)
Volume visualization is gaining widespread acceptance in medical applications. As its use increases, the issue of accuracy becomes critical. There have been very few studies examining the accuracy of volume rendering techniques. We studied the accuracy of hardware-assisted volume rendering for measurement of arterial stenosis in computed tomography (CT)(More)
Visualization of multi-dimensional data is a challenging task. The goal is not the display of multiple data dimensions, but user comprehension of the multi-dimensional data. This paper explores several techniques for perceptually motivated procedural generation of shapes to increase the comprehension of multi-dimensional data. Our glyph-based system allows(More)
This paper describes a new technique for the multi-dimensional visualization of data through automatic procedural generation of glyph shapes based on mathematical functions. Our glyph-based Stereoscopic Field Analyzer (SFA) system allows the visualization of both regular and irregular grids of volumetric data. SFA uses a glyph’s location, 3D size, color and(More)
Information visualization of multivariate data is a difficult task. Glyph-based rendering is an attempt to discretize the data visually so that individual visual elements of the final display such as color, size, position, etc. encode some information about the data. We propose a simple new method for allowing the use of shape for quantitative, continuous(More)
Visualization of multi-dimensional data is a challenging task. The goal is not the display of multiple data dimensions, but user comprehension of the multi-dimensional data. This paper explores several techniques for perceptually motivated procedural generation of shapes to increase the comprehension of multi-dimensional data. Our glyph-based system allows(More)
  • 1