@inproceedings{Svakhine:2005:IPI,
optpostscript = {},
optorganization = {},
author = {Nikolai A. Svakhine and Yun Jang and David S. Ebert and Kelly
Gaither},
optkey = {},
optannote = {},
optseries = {},
editor = {Cl{\'a}udio T. Silva and Eduard Gr{\"o}ller and Holly Rushmeier},
url = {http://doi.ieeecomputersociety.org/10.1109/VIS.2005.53},
address = IEEEAdr,
localfile = {papers/Svakhine.2005.IPI.pdf},
optisbn = {},
publisher = IEEEPub,
optkeywords = {},
optmonth = {},
optciteseer = {},
doi = {http://dx.doi.org/10.1109/VIS.2005.53},
optcrossref = {},
optwww = {},
booktitle = {Proceedings of IEEE Visualization (VIS 2005, October 23--28,
2005, Minneapolis, MN, USA)},
optvolume = {},
optnumber = {},
abstract = {Understanding and analyzing complex volumetrically varying data is
a difficult problem. Many computational visualization techniques
have had only limited success in succinctly portraying the
structure of three-dimensional turbulent flow. Motivated by both
the extensive history and success of illustration and photographic
flow visualization techniques, we have developed a new interactive
volume rendering and visualization system for flows and volumes
that simulates and enhances traditional illustration, experimental
advection, and photographic flow visualization techniques. Our
system uses a combination of varying focal and contextual
illustrative styles, new advanced two-dimensional transfer
functions, enhanced Schlieren and shadowgraphy shaders, and novel
oriented structure enhancement techniques to allow interactive
visualization, exploration, and comparative analysis of scalar,
vector, and time-varying volume datasets. Both traditional
illustration techniques and photographic flow visualization
techniques effectively reduce visual clutter by using compact
oriented structure information to convey threedimensional
structures. Therefore, a key to the effectiveness of our systemis
using one-dimensional (Schlieren and shadowgraphy) and
two-dimensional (silhouette) oriented structural information to
reduce visual clutter, while still providing enough
three-dimensional structural information for the user’s visual
system to understand complex three-dimensional flow data. By
combining these oriented feature visualization techniques with
flexible transfer function controls, we can visualize scalar and
vector data, allow comparative visualization of flow properties in
a succinct, informative manner, and provide continuity for
visualizing time-varying datasets.},
title = {{I}llustration and {P}hotography {I}nspired {V}isualization of
{F}lows and {V}olumes},
year = {2005},
pages = {687--694},
}
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