Visualization and Analysis of Diffusion Tensor Fields
PhD Dissertation, School of Computing, University of Utah
Gordon Kindlmann

Describes an effective combination of visualization methods, such as superquadric tensor glyphs and direct volume rendering, and a mathematical framework for analysis of the gradient of the diffusion tensor field, to enable a generalized form of edge detection.

Superquadric Tensor Glyphs
Joint Eurographics - IEEE TVCG Symposium on Visualization ("VisSym") 2004.
Gordon Kindlmann

Proposes an intuitive tensor glyph based on superquadric surfaces, and demonstrates the glyph for visualizing diffusion tensor data of the brain.

Curvature-Based Transfer Functions for Direct Volume Rendering: Methods and Applications
IEEE Visualization 2003.
Gordon Kindlmann, Ross Whitaker, Tolga Tasdizen, Torsten Möller

Describes convolution-based curvature measurement in regularly sampled scalar fields, and shows how curvature information improves non-photorealistic volume rendering, and facilitates visualization of level set solutions and isosurface uncertainty.

Face-based Luminance Matching for Perceptual Colormap Generation
IEEE Visualization 2002, pages 299-306.
Gordon Kindlmann, Erik Reinhard, Sarah Creem

Presents a simple method for matching the luminance of a color and shade of gray, and shows how this method can be employed to generate colormaps with a predetermined pattern of luminance variation, such as monotically increasing luminance, or isoluminance.

Interactive Volume Rendering Using Multi-Dimensional Transfer Functions and Direct Manipulation Widgets
Best Paper, IEEE Visualization 2001, pages 255-262.
Joe Kniss, Gordon Kindlmann, Charles Hansen

Demonstrates the effectiveness and utility of multi-dimensional transfer functions with a new set of interaction techniques and widgets (for making the specification of multi-dimensional transfer functions convenient and intuitive), and modern graphics hardware (for making volume rendering interactive).

Strategies for Direct Volume Rendering of Diffusion Tensor Fields
IEEE Transactions on Visualization and Computer Graphics, 6(2):124-138, April-June 2000.
Gordon Kindlmann, David Weinstein, David Hart

Extended version of the Vis99 paper below. Describes more general transfer functions, blending of lit-tensors with surface shading, and the use of Alan Turing's reaction-diffusion textures as a tool for 2D and 3D tensor visualization. Also addresses issues of diffusion tensor data interpolation.

Hue-Balls and Lit-Tensors for Direct Volume Rendering of Diffusion Tensor Fields
Best Paper, IEEE Visualization '99, pages 183-189.
Gordon Kindlmann, David Weinstein

Explores the use of direct volume rendering for visualizating three-dimensional second-order diffusion tensor data, with ideas on how to color and illuminate diffusion tensors, as well as how to assign opacity to them.

Semi-Automatic Generation of Transfer Functions for Direct Volume Rendering
Best Paper (co-winner), IEEE 1998 Symposium on Volume Visualization, pages 79-86.
Gordon Kindlmann, James Durkin

A compact, 8-page version of my Master's thesis (below).

Semi-Automatic Generation of Transfer Functions for Direct Volume Rendering
Masters of Science Thesis, Program of Computer Graphics, Cornell University
Gordon Kindlmann

Demonstrates that for a common scalar field direct volume rendering task (visualization of boundaries between homogenous regions), the parameter space of transfer functions can be greatly simplified by analyzing a histogram of the data value and its two spatial derivatives.