@inproceedings{Collomosse:2006:SGS,
optpostscript = {},
optorganization = {},
author = {John P. Collomosse},
optkey = {},
series = LNICS,
optannote = {},
editor = {Franz Rothlauf et al.},
address = SpringerAdr,
localfile = {papers/Collomosse.2006.SGS.pdf},
optisbn = {},
publisher = SpringerPub,
optkeywords = {},
optmonth = {},
optciteseer = {},
doi = {http://dx.doi.org/10.1007/11732242},
opturl = {},
volume = {3907},
optcrossref = {},
optwww = {},
booktitle = {Applications of Evolutionary Computing, Proceedings of the Fourth
European Workshop on Evolutionary Music and Art (EvoMUSART 2006
as part of EvoWorkshops 2006, April 10--12, 2006, Budapest,
Hungary)},
optnumber = {},
abstract = {This paper investigates the feasibility of evolutionary search
techniques as a mechanism for interactively exploring the design
space of 2D painterly renderings. Although a growing body of
painterly rendering literature exists, the large number of
low-level configurable parameters that feature in contemporary
algorithms can be counter-intuitive for non-expert users to set.
In this paper we first describe a multi-resolution painting
algorithm capable of transforming photographs into paintings at
interactive speeds. We then present a supervised evolutionary
search process in which the user scores paintings on their
aesthetics to guide the specification of their desired painterly
rendering. Using our system, nonexpert users are able to produce
their desired aesthetic in approximately 20 mouse clicks ---
around half an order of magnitude faster than manual specification
of individual rendering parameters by trial and error.},
title = {{S}upervised {G}enetic {S}earch for {P}arameter {S}election in
{P}ainterly {R}endering},
year = {2006},
pages = {599--610},
}
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