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== Reference ==
Maryam Baniasadi: Genetic Programming for Non-Photorealistic Rendering. Master Thesis & Technical Report # CS-13-08 June 2013, Brock University, Department of Computer Science.

== DOI ==

== Abstract ==
This thesis focuses on developing an evolutionary art system using genetic
programming. The main goal is to produce new forms of evolutionary art that
filter existing images into new non-photorealistic (NPR) styles, by obtaining
images that look like traditional media such as watercolor or pencil, as well
as brand new effects. The approach permits GP to generate creative forms
of NPR results. The GP language is extended with different techniques
and methods inspired from NPR research such as colour mixing expressions,
image processing filters and painting algorithm. Colour mixing is a major
new contribution, as it enables many familiar and innovative NPR effects
to arise. Another major innovation is that many GP functions process the
canvas (rendered image), while is dynamically changing. Automatic fitness
scoring uses aesthetic evaluation models and statistical analysis, and multi-
objective fitness evaluation is used. Results showed a variety of NPR effects,
as well as new, creative possibilities.

== Extended Abstract ==

== Bibtex ==

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== Links ==
=== Full Text ===
http://www.cosc.brocku.ca/files/downloads/research/cs1308.pdf

[[intern file]]

=== Sonstige Links ===

@@ Zeile 268: / Zeile 268: @@
 [67] Poli. R, Langdon. W. R, and McPhee. N. F. A Field Guide to Genetic
-Programming. http://lulu.com and freely available at http://www.gp-
+Programming. http://lulu.com and freely available at http://www.gp-field-guide.org.uk, 2008. With contributions by Koza. J. R.
 [68] Smith. J. R and Chang. S. F. Visual seek: a fully automated content-
@@ Zeile 326: / Zeile 325: @@
 dust till drawn: A real-time bidirectional pastel simulation. The Visual
 Computer, 23(9-11):925–934, 2007.
 == Links ==

Genetic Programming for Non-Photorealistic Rendering - Versionsgeschichte

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