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		<id>https://www.scipedia.com/wd/index.php?action=history&amp;feed=atom&amp;title=Schmitt_et_al_2016a</id>
		<title>Schmitt et al 2016a - Revision history</title>
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		<updated>2026-04-22T03:36:55Z</updated>
		<subtitle>Revision history for this page on the wiki</subtitle>
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	<entry>
		<id>https://www.scipedia.com/wd/index.php?title=Schmitt_et_al_2016a&amp;diff=194219&amp;oldid=prev</id>
		<title>Scipediacontent: Scipediacontent moved page Draft Content 349278675 to Schmitt et al 2016a</title>
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				<updated>2021-01-28T20:37:01Z</updated>
		
		<summary type="html">&lt;p&gt;Scipediacontent moved page &lt;a href=&quot;/public/Draft_Content_349278675&quot; class=&quot;mw-redirect&quot; title=&quot;Draft Content 349278675&quot;&gt;Draft Content 349278675&lt;/a&gt; to &lt;a href=&quot;/public/Schmitt_et_al_2016a&quot; title=&quot;Schmitt et al 2016a&quot;&gt;Schmitt et al 2016a&lt;/a&gt;&lt;/p&gt;
&lt;table class=&quot;diff diff-contentalign-left&quot; data-mw=&quot;interface&quot;&gt;
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				&lt;td colspan='1' style=&quot;background-color: white; color:black; text-align: center;&quot;&gt;← Older revision&lt;/td&gt;
				&lt;td colspan='1' style=&quot;background-color: white; color:black; text-align: center;&quot;&gt;Revision as of 20:37, 28 January 2021&lt;/td&gt;
				&lt;/tr&gt;&lt;tr&gt;&lt;td colspan='2' style='text-align: center;' lang='en'&gt;&lt;div class=&quot;mw-diff-empty&quot;&gt;(No difference)&lt;/div&gt;
&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;</summary>
		<author><name>Scipediacontent</name></author>	</entry>

	<entry>
		<id>https://www.scipedia.com/wd/index.php?title=Schmitt_et_al_2016a&amp;diff=194218&amp;oldid=prev</id>
		<title>Scipediacontent: Created page with &quot; == Abstract ==  For Augmented Reality to succeed in industrial appliances, industries demand not only robust and reliable tracking techniques, but also a scalable and perform...&quot;</title>
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				<updated>2021-01-28T20:36:56Z</updated>
		
		<summary type="html">&lt;p&gt;Created page with &amp;quot; == Abstract ==  For Augmented Reality to succeed in industrial appliances, industries demand not only robust and reliable tracking techniques, but also a scalable and perform...&amp;quot;&lt;/p&gt;
&lt;p&gt;&lt;b&gt;New page&lt;/b&gt;&lt;/p&gt;&lt;div&gt;&lt;br /&gt;
== Abstract ==&lt;br /&gt;
&lt;br /&gt;
For Augmented Reality to succeed in industrial appliances, industries demand not only robust and reliable tracking techniques, but also a scalable and performant pipeline, that is easy-to-integrate within the existing data- and content environment and that enables vendors to create tracking solutions on their own. In our demo, we present recent advances of our model tracking pipeline and tracking technology, which on the one hand is easy use and easy to integrate, while on the other hand robust enough during difficult environmental conditions and which delivers high accuracy for the industrial domain. We showcase our results inside an AR-manual scenario.&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
== Original document ==&lt;br /&gt;
&lt;br /&gt;
The different versions of the original document can be found in:&lt;br /&gt;
&lt;br /&gt;
* [http://publica.fraunhofer.de/documents/N-467510.html http://publica.fraunhofer.de/documents/N-467510.html]&lt;br /&gt;
&lt;br /&gt;
* [http://xplorestaging.ieee.org/ielx7/7835345/7836421/07836535.pdf?arnumber=7836535 http://xplorestaging.ieee.org/ielx7/7835345/7836421/07836535.pdf?arnumber=7836535],&lt;br /&gt;
: [http://dx.doi.org/10.1109/ismar-adjunct.2016.0114 http://dx.doi.org/10.1109/ismar-adjunct.2016.0114]&lt;br /&gt;
&lt;br /&gt;
* [https://ieeexplore.ieee.org/document/7836535 https://ieeexplore.ieee.org/document/7836535],&lt;br /&gt;
: [https://dblp.uni-trier.de/db/conf/ismar/ismar2016a.html#WuestEWSK16 https://dblp.uni-trier.de/db/conf/ismar/ismar2016a.html#WuestEWSK16],&lt;br /&gt;
: [https://academic.microsoft.com/#/detail/2585899104 https://academic.microsoft.com/#/detail/2585899104]&lt;/div&gt;</summary>
		<author><name>Scipediacontent</name></author>	</entry>

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