@inproceedings{Baxter:2004:IRI,
optorganization = {},
author = {William Baxter and Jeremy Wendt and Ming C. Lin},
optkey = {},
optseries = {},
editor = {Aaron Hertzmann and Craig Kaplan},
url = {http://gamma.cs.unc.edu/IMPaSTo/},
localfile = {papers/Baxter.2004.IRI.pdf},
address = {New York},
publisher = {ACM Press},
doi = {http://doi.acm.org/10.1145/987657.987665},
optmonth = {},
opturl = {},
optcrossref = {},
booktitle = NPAR2004,
optstatus = {},
optvolume = {},
optnumber = {},
title = {{IMP}a{ST}o: {A} {R}ealistic, {I}nteractive {M}odel for {P}aint},
abstract = {We present a paint model for use in interactive painting systems
that captures a wide range of styles similar to oils or acrylics.
The model includes both a numerical simulation to recreate the
physical flow of paint and an optical model to mimic the paint
appearance. Our physical model for paint is based on a
conservative advection scheme that simulates the basic dynamics of
paint, augmented with heuristics that model the remaining key
properties needed for painting. We allow one active wet layer, and
an unlimited number of dry layers, with each layer being
represented as a height-field. We represent paintings in terms of
paint pigments rather than RGB colors, allowing us to relight
paintings under any fullspectrum illuminant. We also incorporate
an interactive implementation of the Kubelka-Munk diffuse
reflectance model, and use a novel eight-component color space for
greater color accuracy. We have integrated our paint model into a
prototype painting system, with both our physical simulation and
rendering algorithms running as fragment programs on the graphics
hardware. The system demonstrates the model’s effectiveness in
rendering a variety of painting styles from semi-transparent
glazes, to scumbling, to thick impasto.},
year = {2004},
pages = {45--56},
}
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