<?xml version="1.0"?>
<feed xmlns="http://www.w3.org/2005/Atom" xml:lang="de">
		<id>http://de.evo-art.org/index.php?action=history&amp;feed=atom&amp;title=Computationally_Rendered_Painterly_Portrait_Spaces</id>
		<title>Computationally Rendered Painterly Portrait Spaces - Versionsgeschichte</title>
		<link rel="self" type="application/atom+xml" href="http://de.evo-art.org/index.php?action=history&amp;feed=atom&amp;title=Computationally_Rendered_Painterly_Portrait_Spaces"/>
		<link rel="alternate" type="text/html" href="http://de.evo-art.org/index.php?title=Computationally_Rendered_Painterly_Portrait_Spaces&amp;action=history"/>
		<updated>2026-05-27T09:10:04Z</updated>
		<subtitle>Versionsgeschichte dieser Seite in de_evolutionary_art_org</subtitle>
		<generator>MediaWiki 1.27.4</generator>

	<entry>
		<id>http://de.evo-art.org/index.php?title=Computationally_Rendered_Painterly_Portrait_Spaces&amp;diff=3617&amp;oldid=prev</id>
		<title>Gbachelier: Die Seite wurde neu angelegt: „  == Reference == Steve DiPaola: Computationally Rendered Painterly Portrait Spaces. Artciencia: Art &amp; Science Journal, Vol 4, No 9, pp 1-8, October-Ja…“</title>
		<link rel="alternate" type="text/html" href="http://de.evo-art.org/index.php?title=Computationally_Rendered_Painterly_Portrait_Spaces&amp;diff=3617&amp;oldid=prev"/>
				<updated>2015-01-19T19:24:25Z</updated>
		
		<summary type="html">&lt;p&gt;Die Seite wurde neu angelegt: „  == Reference == &lt;a href=&quot;/index.php?title=Steve_DiPaola&quot; title=&quot;Steve DiPaola&quot;&gt;Steve DiPaola&lt;/a&gt;: &lt;a href=&quot;/index.php?title=Computationally_Rendered_Painterly_Portrait_Spaces&quot; title=&quot;Computationally Rendered Painterly Portrait Spaces&quot;&gt;Computationally Rendered Painterly Portrait Spaces&lt;/a&gt;. Artciencia: Art &amp;amp; Science Journal, Vol 4, No 9, pp 1-8, October-Ja…“&lt;/p&gt;
&lt;p&gt;&lt;b&gt;Neue Seite&lt;/b&gt;&lt;/p&gt;&lt;div&gt;&lt;br /&gt;
&lt;br /&gt;
== Reference ==&lt;br /&gt;
[[Steve DiPaola]]: [[Computationally Rendered Painterly Portrait Spaces]]. Artciencia: Art &amp;amp; Science Journal, Vol 4, No 9, pp 1-8, October-January, 2008. &lt;br /&gt;
&lt;br /&gt;
== DOI ==&lt;br /&gt;
&lt;br /&gt;
== Abstract ==&lt;br /&gt;
Is it possible to computationally model the open methodology that fine art portrait&lt;br /&gt;
painters have used for centuries, into a computer system? A computational system&lt;br /&gt;
which is capable of producing creative art work on its own from sitter photographs and&lt;br /&gt;
in doing have a interdisciplinary toolkit that artists, scientists and critics can use to&lt;br /&gt;
understand and explore the creative artistic process?&lt;br /&gt;
&lt;br /&gt;
This work is ongoing output from research work by Steve DiPaola that attempts to build&lt;br /&gt;
a computational painting system (called ‘painterly’) that allows aspects of art (the&lt;br /&gt;
creative human act of fine art painting) and science (cognition, vision and perception;&lt;br /&gt;
as well as computational design) to both enhance and validate each other. The&lt;br /&gt;
research takes a novel approach to non photorealistic rendering (NPR) which relies on&lt;br /&gt;
parameterizing a semantic knowledge space of how a human painter paints, that is, the&lt;br /&gt;
creative and cognitive process. This approach has two significant benefits and&lt;br /&gt;
therefore two intertwining and interdisciplinary research outcomes. The first benefit is&lt;br /&gt;
creating a new type of painterly NPR system with both a wider range and improved&lt;br /&gt;
results compared to current techniques. The second benefit, is that portrait artists over&lt;br /&gt;
1000’s of years have somewhat intuitively evolved a ‘painting methodology’ which&lt;br /&gt;
exploits specific human vision and cognitive (neural) functions, and therefore when&lt;br /&gt;
presented in a quantitative way (from our system) can shed light on psychological&lt;br /&gt;
research in human vision and perception (or at least validate it via another method).&lt;br /&gt;
The reverse is also true - via this system and process, cognitive scientists can&lt;br /&gt;
understand artistic technique (which can be useful in many areas including how to&lt;br /&gt;
make design systems creative).&lt;br /&gt;
&lt;br /&gt;
== Extended Abstract ==&lt;br /&gt;
&lt;br /&gt;
== Bibtex == &lt;br /&gt;
&lt;br /&gt;
== Used References ==&lt;br /&gt;
none&lt;br /&gt;
&lt;br /&gt;
== Links ==&lt;br /&gt;
=== Full Text === &lt;br /&gt;
http://summit.sfu.ca/system/files/iritems1/604/dipaola-computationallyrendered.pdf&lt;br /&gt;
&lt;br /&gt;
[[intern file]]&lt;br /&gt;
&lt;br /&gt;
=== Sonstige Links ===&lt;/div&gt;</summary>
		<author><name>Gbachelier</name></author>	</entry>

	</feed>