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Enhancing Depth-Perception with Flexible Volumetric Halos

S. Bruckner and M. E. Gröller

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.

S. Bruckner and M. E. Gröller, "Enhancing Depth-Perception with Flexible Volumetric Halos," IEEE Transactions on Visualization and Computer Graphics, vol. 13, iss. 6, p. 1344–1351, 2007. doi:10.1109/TVCG.2007.70555
[BibTeX]

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.
@ARTICLE {Bruckner-2007-EDF,
author = "Stefan Bruckner and Meister Eduard Gr{\"o}ller",
title = "Enhancing Depth-Perception with Flexible Volumetric Halos",
journal = "IEEE Transactions on Visualization and Computer Graphics",
year = "2007",
volume = "13",
number = "6",
pages = "1344--1351",
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.",
pdf = "pdfs/Bruckner-2007-EDF.pdf",
images = "images/Bruckner-2007-EDF.jpg",
thumbnails = "images/Bruckner-2007-EDF.png",
youtube = "https://www.youtube.com/watch?v=NvHfxX8wjE8",
affiliation = "tuwien",
doi = "10.1109/TVCG.2007.70555",
event = "IEEE Visualization 2007",
keywords = "volume rendering, illustrative visualization, halos",
location = "Sacramento, California, USA",
url = "//www.cg.tuwien.ac.at/research/publications/2007/bruckner-2007-EDF/"
}
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