@phdthesis{Baxter:2004:PBM,
author = {William Baxter},
optkey = {},
optannote = {},
opttype = {},
url = {http://billbaxter.com/projects/index.html},
title = {{P}hysically-{B}ased {M}odeling {T}echniques for {I}nteractive
{D}igital {P}ainting},
abstract = {In this dissertation I present a novel, physically-based approach
to digital painting. With the interactive simulation techniques I
present, digital painters can work with digital brushes and paints
whose behavior is similar to real ones. Using this
physically-based approach, a digital painting system can provide
artists with a versatile and expressive creative tool, while at
the same time providing a more natural style of interaction
enabled by the emulation of real-world implements. I introduce
several specific modeling techniques for digital painting. First,
I present a physically-based, 3D, deformable, virtual brush model
based on non-linear quasi-static constrained energy minimization.
The brush dynamics are computed using a skeletal physical model,
which then determines the motion of a more complex geometric
model. I also present three different models for capturing the
dynamic behavior of viscous paint media, each offering a different
trade-off between speed and fidelity—from 2D heuristics, to 3D
partial differential equations. Accurate modeling of the optical
behavior of paint mixtures and glazes is also important, and for
this I present a real-time, physically-based rendering technique,
based on the Kubelka-Munk equations and an eight-sample color
space. Finally, I present techniques for modeling the haptic
response of brushes in an artist’s hand, and demonstrate that all
these techniques can be combined to provide the digital painter
with an interactive, virtual painting system with a working style
similar to real-world painting.},
localfile = {papers/Baxter.2004.PBM.pdf},
address = {USA},
school = {Department of Computer Science, University of North Carolina},
optmonth = {},
doi = {http://doi.acm.org/10.1145/1087318},
year = {2004},
}
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