@inproceedings{Laerhoven:2005:RTS,
opteditor = {},
optpostscript = {},
optorganization = {},
author = {Tom Van Laerhoven and Frank Van Reeth},
optkey = {},
optannote = {},
optseries = {},
url = {http://artis.imag.fr/Publications/2005/BTS05/},
address = {New York},
localfile = {papers/Laerhoven.2005.RTS.pdf},
optisbn = {},
publisher = {ACM Press},
optkeywords = {},
optmonth = {},
optciteseer = {},
doi = {http://doi.acm.org/10.1145/1187112.1187187},
optpages = {},
optcrossref = {},
optwww = {},
booktitle = SIGGRAPH2005Abstr,
optvolume = {},
optnumber = {},
abstract = {The possibility of experimenting with various techniques and paint
media, as well as the ability of introducing a wide range of
digital tools, makes a digital equivalent of the traditional
painting process a valuable asset for both novices and experienced
artists. Existing work on applications for thin watery paint is
mainly focused on automatic generation of painterly-style images
from input images, ignoring the fact that painting is a process
that intuitively should be interactive. Efforts to create
real-time interactive systems are limited to a single paint medium
and results often suffer from a trade-off between real-timeness
and simulation complexity. We present an application for real-time
interactive creation of images with thin watery paint, including
watercolor, gouache and Chinese ink. Our canvas model adopts
stable fluid dynamics algorithms to transfer pigment densities and
water quantities on top of the canvas. Heuristic rules handle the
deposition of pigment within the irregularities of the canvas
surface, as well as the evaporation, absorption and capillary
diffusion of water inside the canvas structure. We extend our
previous work on a parallel implementation [Van Laerhoven et al.
2004] with a new approach suitable for graphics hardware, the
Kubelka-Munk diffuse reflectance model and the capability to
produce paintings with paint media related to watercolor, like
gouache and Chinese ink. The application can also generate
animated paintings from stroke curve data.},
title = {{R}eal-{T}ime {S}imulation of {T}hin {P}aint {M}edia},
year = {2005},
}
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