@article{Healey:2004:PBB,
optcitations =
{Curtis:1997:CGW,Ebert:2000:VIN,Finkelstein:1994:MRC,Gooch:2002:AVP,Gooch:2001:NPR,Haeberli:1990:PBN,Hertzmann:1998:PRC,Hertzmann:2002:FTM,Herzmann:2001:IA,Hsu:1994:DAU,Litwinowicz:1997:PIV,Lu:2002:NPV,Meier:1996:PRA,Rheingans:2001:VIN,Salisbury:1996:SDR,Salisbury:1994:IPI,Salisbury:1997:OTI,Sousa:1999:CGG,Sousa:1999:CGP,Sousa:2000:OMG,Strassmann:1986:HB,Strothotte:2002:NPC,Takagi:1997:MSM,Takagi:1999:VMA,Winkenbach:1994:CGP,Winkenbach:1996:RPS},
number = {1},
volume = {23},
opturl = {},
month = jan,
optwww = {},
author = {Christopher G. Healey and Laura Tateosian and James T. Enns and Mark
Remple},
optkey = {},
localfile = {papers/Healey.2004.PBB.pdf},
abstract = {An important problem in the area of computer graphics is the
visualization of large, complex information spaces. Datasets of
this type have grown rapidly in recent years, both in number and
in size. Images of the data stored in these collections must
support rapid and accurate exploration and analysis. This article
presents a method for constructing visualizations that are both
effective and aesthetic. Our approach uses techniques from master
paintings and human perception to visualize a multidimensional
dataset. Individual data elements are drawn with one or more brush
strokes that vary their appearance to represent the element's
attribute values. The result is a nonphotorealistic visualization
of information stored in the dataset. Our research extends
existing glyph-based and nonphotorealistic techniques by applying
perceptual guidelines to build an effective representation of the
underlying data. The nonphotorealistic properties the strokes
employ are selected from studies of the history and theory of
Impressionist art. We show that these properties are similar to
visual features that are detected by the low- level human visual
system. This correspondence allows us to manage the strokes to
produce perceptually salient visualizations. Psychophysical
experiments confirm a strong relationship between the expressive
power of our nonphotorealistic properties and previous Findings on
the use of perceptual color and texture patterns for data display.
Results from these studies are used to produce effective
nonphotorealistic visualizations. We conclude by applying our
techniques to a large, multidimensional weather dataset to
demonstrate their viability in a practical, real-world setting.},
title = {{P}erceptually-{B}ased {B}rush {S}trokes for {N}onphotorealistic
{V}isualization},
doi = {http://doi.acm.org/10.1145/966131.966135},
journal = j-TOG,
year = {2004},
pages = {64--96},
}
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