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Multi-Dimensional Transfer Functions for Interactive Volume Rendering & Interactive Volume Rendering Using Multi-Dimensional Transfer Functions, etc. by Kniss, Kindlmann, Hansen University of Utah. presentation by Nicholas Schwarz schwarz@evl.uic.edu Electronic Visualization Lab

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slide1

Multi-Dimensional Transfer Functions for Interactive Volume Rendering & Interactive Volume Rendering Using Multi-Dimensional Transfer Functions, etc.

by

Kniss, Kindlmann, Hansen

University of Utah

presentation by

Nicholas Schwarz

schwarz@evl.uic.edu

Electronic Visualization Lab

University of Illinois at Chicago

introduction
Introduction
  • Easy to find objects in spatial domain, but difficult to do so in transfer function domain.
  • Different regions may have same scalar value.
  • Enormous degrees of freedom.
  • Small changes in transfer function result in drastic/unexpected changes in the visualization.
multi dimensional transfer functions
Multi-Dimensional Transfer Functions
  • Gradient – local rate of change (1st derivative)
multi dimensional transfer function
Multi-Dimensional Transfer Function
  • Hessian – second partial derivative
hardware
Hardware
  • Dependent texture reads: use color fragments to generate texture coordinates, replace those color fragments with corresponding entries from a texture.
  • Classification: can get vary large for multi-dimensions, so higher dimensions are limited.
  • Surface shading: cube map dependent texture reads – treat RGB component as a vector used as texture coordinates for a cub map. Bad for shading homogeneous regions, but good for boundaries.
hardware1
Hardware
  • Shadows: off screen render buffer to accumulate the amount of light.