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Enhancing Depth-Perception with Flexible Volumetric Halos

Stefan Bruckner, M. Eduard Gröller

JOURNAL ARTICLE: IEEE Transactions on Visualization and Computer Graphics, vol. 13, no. 6, pp. 1344–1351, 2007. DOI: 10.1109/TVCG.2007.70555

Abstract

Volumetric data commonly has high depth complexity which makes it difficult to judge spatial relationships accurately. There are many different ways to enhance depth perception, such as shading, contours, and shadows. Artists and illustrators frequently employ halos for this purpose. In this technique, regions surrounding the edges of certain structures are darkened or brightened which makes it easier to judge occlusion. Based on this concept, we present a flexible method for enhancing and highlighting structures of interest using GPU-based direct volume rendering. Our approach uses an interactively defined halo transfer function to classify structures of interest based on data value, direction, and position. A feature-preserving spreading algorithm is applied to distribute seed values to neighboring locations, generating a controllably smooth field of halo intensities. These halo intensities are then mapped to colors and opacities using a halo profile function. Our method can be used to annotate features at interactive frame rates.

Published

IEEE Transactions on Visualization and Computer Graphics

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BibTeX

@ARTICLE{Bruckner-2007-EDF,
  author = {Stefan Bruckner and M. Eduard Gr{\"o}ller},
  title = {Enhancing Depth-Perception with Flexible Volumetric Halos},
  journal = {IEEE Transactions on Visualization and Computer Graphics},
  year = {2007},
  volume = {13},
  pages = {1344--1351},
  number = {6},
  month = oct,
  abstract = {Volumetric data commonly has high depth complexity which makes it
	difficult to judge spatial relationships accurately. There are many
	different ways to enhance depth perception, such as shading, contours,
	and shadows. Artists and illustrators frequently employ halos for
	this purpose. In this technique, regions surrounding the edges of
	certain structures are darkened or brightened which makes it easier
	to judge occlusion. Based on this concept, we present a flexible
	method for enhancing and highlighting structures of interest using
	GPU-based direct volume rendering. Our approach uses an interactively
	defined halo transfer function to classify structures of interest
	based on data value, direction, and position. A feature-preserving
	spreading algorithm is applied to distribute seed values to neighboring
	locations, generating a controllably smooth field of halo intensities.
	These halo intensities are then mapped to colors and opacities using
	a halo profile function. Our method can be used to annotate features
	at interactive frame rates.},
  doi = {10.1109/TVCG.2007.70555},
  event = {IEEE Visualization 2007},
  keywords = {volume rendering, illustrative visualization, halos},
  location = {Sacramento, California, USA},
  url = {http://www.cg.tuwien.ac.at/research/publications/2007/bruckner-2007-EDF/}
}






 Last Modified: Stefan Bruckner, 2014-08-15