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		<title>Evolutionary Morphing for Facial Aging Simulation - Versionsgeschichte</title>
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		<title>Gbachelier: /* Used References */</title>
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				<updated>2014-11-26T10:45:05Z</updated>
		
		<summary type="html">&lt;p&gt;‎&lt;span dir=&quot;auto&quot;&gt;&lt;span class=&quot;autocomment&quot;&gt;Used References&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;
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				&lt;td colspan=&#039;2&#039; style=&quot;background-color: white; color:black; text-align: center;&quot;&gt;← Nächstältere Version&lt;/td&gt;
				&lt;td colspan=&#039;2&#039; style=&quot;background-color: white; color:black; text-align: center;&quot;&gt;Version vom 26. November 2014, 10:45 Uhr&lt;/td&gt;
				&lt;/tr&gt;&lt;tr&gt;&lt;td colspan=&quot;2&quot; class=&quot;diff-lineno&quot; id=&quot;mw-diff-left-l143&quot; &gt;Zeile 143:&lt;/td&gt;
&lt;td colspan=&quot;2&quot; class=&quot;diff-lineno&quot;&gt;Zeile 143:&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class=&#039;diff-marker&#039;&gt;&amp;#160;&lt;/td&gt;&lt;td style=&quot;background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;invariant of growth. Journal of Experimental Psychology: Hu-&lt;/div&gt;&lt;/td&gt;&lt;td class=&#039;diff-marker&#039;&gt;&amp;#160;&lt;/td&gt;&lt;td style=&quot;background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;invariant of growth. Journal of Experimental Psychology: Hu-&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class=&#039;diff-marker&#039;&gt;&amp;#160;&lt;/td&gt;&lt;td style=&quot;background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;man Perception and Performance 5, 3, 478–493.&lt;/div&gt;&lt;/td&gt;&lt;td class=&#039;diff-marker&#039;&gt;&amp;#160;&lt;/td&gt;&lt;td style=&quot;background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;man Perception and Performance 5, 3, 478–493.&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class=&#039;diff-marker&#039;&gt;−&lt;/td&gt;&lt;td style=&quot;color:black; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;&lt;del class=&quot;diffchange diffchange-inline&quot;&gt; ̈&lt;/del&gt;&lt;/div&gt;&lt;/td&gt;&lt;td class=&#039;diff-marker&#039;&gt;+&lt;/td&gt;&lt;td style=&quot;color:black; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;&amp;#160;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class=&#039;diff-marker&#039;&gt;&amp;#160;&lt;/td&gt;&lt;td style=&quot;background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;RUPRECHT, D., AND M ULLER, H. 1995. Image warping with&lt;/div&gt;&lt;/td&gt;&lt;td class=&#039;diff-marker&#039;&gt;&amp;#160;&lt;/td&gt;&lt;td style=&quot;background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;RUPRECHT, D., AND M ULLER, H. 1995. Image warping with&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class=&#039;diff-marker&#039;&gt;&amp;#160;&lt;/td&gt;&lt;td style=&quot;background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;scattered data interpolation. IEEE Computer Graphics and Ap-&lt;/div&gt;&lt;/td&gt;&lt;td class=&#039;diff-marker&#039;&gt;&amp;#160;&lt;/td&gt;&lt;td style=&quot;background-color: #f9f9f9; color: #333333; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #e6e6e6; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;scattered data interpolation. IEEE Computer Graphics and Ap-&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;/table&gt;</summary>
		<author><name>Gbachelier</name></author>	</entry>

	<entry>
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		<title>Gbachelier: Die Seite wurde neu angelegt: „  == Reference == D. Hubball and M. Chen and P. W. Grant and D. Cosker: Evolutionary Morphing for Facial Aging Simulation. International Crime Science Conferen…“</title>
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		<summary type="html">&lt;p&gt;Die Seite wurde neu angelegt: „  == Reference == D. Hubball and M. Chen and P. W. Grant and D. Cosker: Evolutionary Morphing for Facial Aging Simulation. International Crime Science Conferen…“&lt;/p&gt;
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&lt;br /&gt;
== Reference ==&lt;br /&gt;
D. Hubball and M. Chen and P. W. Grant and D. Cosker: Evolutionary Morphing for Facial Aging Simulation. International Crime Science Conference (ICSC 2007), 16 July 2007. &lt;br /&gt;
&lt;br /&gt;
== DOI ==&lt;br /&gt;
&lt;br /&gt;
== Abstract ==&lt;br /&gt;
Aging has considerable effects on the appearance of the human face&lt;br /&gt;
and is difficult to simulate using a universally-applicable global&lt;br /&gt;
model. In this paper, we present a data-driven framework for facial&lt;br /&gt;
age progression (and regression) automatically in conjunction with&lt;br /&gt;
a database of facial images. We build parameterized local mod-&lt;br /&gt;
els for face modeling, age-transformation and image warping based&lt;br /&gt;
on a subset of imagery data selected according to an input image&lt;br /&gt;
and associated metadata. In order to obtain a person-specific map-&lt;br /&gt;
ping in the model space from an encoded face description to an&lt;br /&gt;
encoded age-transformation, we employed genetic programming to&lt;br /&gt;
automatically evolve a solution by learning from example transfor-&lt;br /&gt;
mations in the selected subset. In order to capture various factors&lt;br /&gt;
that determine the influence of feature points, we developed a new&lt;br /&gt;
image warping algorithm based on non-uniform radial basis func-&lt;br /&gt;
tions (NURBFs). A genetic algorithm was used to handle the large&lt;br /&gt;
parameter space associated with NURBFs. With evolutionary com-&lt;br /&gt;
puting, our approach is able to infer from the input and the database&lt;br /&gt;
the most appropriate models to be used for transforming the input&lt;br /&gt;
face. We compared our data-driven approach with the traditional&lt;br /&gt;
global model approach. The noticeable improvement in terms of&lt;br /&gt;
the resemblance between the output images and the actual target&lt;br /&gt;
images (which are unknown to the process) demonstrated the effec-&lt;br /&gt;
tiveness and usability of this new approach.&lt;br /&gt;
&lt;br /&gt;
== Extended Abstract ==&lt;br /&gt;
&lt;br /&gt;
== Bibtex == &lt;br /&gt;
&lt;br /&gt;
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&lt;br /&gt;
== Links ==&lt;br /&gt;
=== Full Text === &lt;br /&gt;
http://www.cs.swansea.ac.uk/reports/yr2006/CSR6-2006.pdf&lt;br /&gt;
&lt;br /&gt;
[[intern file]]&lt;br /&gt;
&lt;br /&gt;
=== Sonstige Links ===&lt;br /&gt;
http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.205.6838&lt;/div&gt;</summary>
		<author><name>Gbachelier</name></author>	</entry>

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