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		<title>Scipediacontent: Scipediacontent moved page Draft Content 676257013 to Sweeney et al 2016a</title>
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		<summary type="html">&lt;p&gt;Scipediacontent moved page &lt;a href=&quot;/public/Draft_Content_676257013&quot; class=&quot;mw-redirect&quot; title=&quot;Draft Content 676257013&quot;&gt;Draft Content 676257013&lt;/a&gt; to &lt;a href=&quot;/public/Sweeney_et_al_2016a&quot; title=&quot;Sweeney et al 2016a&quot;&gt;Sweeney et al 2016a&lt;/a&gt;&lt;/p&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 21:01, 1 February 2021&lt;/td&gt;
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		<author><name>Scipediacontent</name></author>	</entry>

	<entry>
		<id>https://www.scipedia.com/wd/index.php?title=Sweeney_et_al_2016a&amp;diff=198013&amp;oldid=prev</id>
		<title>Scipediacontent: Created page with &quot; == Abstract ==  We introduce the distributed camera model, a novel model for Structure-from-Motion (SfM). This model describes image observations in terms of light rays with...&quot;</title>
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		<summary type="html">&lt;p&gt;Created page with &amp;quot; == Abstract ==  We introduce the distributed camera model, a novel model for Structure-from-Motion (SfM). This model describes image observations in terms of light rays with...&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;
We introduce the distributed camera model, a novel model for Structure-from-Motion (SfM). This model describes image observations in terms of light rays with ray origins and directions rather than pixels. As such, the proposed model is capable of describing a single camera or multiple cameras simultaneously as the collection of all light rays observed. We show how the distributed camera model is a generalization of the standard camera model and describe a general formulation and solution to the absolute camera pose problem that works for standard or distributed cameras. The proposed method computes a solution that is up to 8 times more efficient and robust to rotation singularities in comparison with gDLS. Finally, this method is used in an novel large-scale incremental SfM pipeline where distributed cameras are accurately and robustly merged together. This pipeline is a direct generalization of traditional incremental SfM; however, instead of incrementally adding one camera at a time to grow the reconstruction the reconstruction is grown by adding a distributed camera. Our pipeline produces highly accurate reconstructions efficiently by avoiding the need for many bundle adjustment iterations and is capable of computing a 3D model of Rome from over 15,000 images in just 22 minutes.&lt;br /&gt;
&lt;br /&gt;
Comment: Published at 2016 3DV Conference&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://arxiv.org/abs/1607.03949 http://arxiv.org/abs/1607.03949]&lt;br /&gt;
&lt;br /&gt;
* [http://arxiv.org/pdf/1607.03949 http://arxiv.org/pdf/1607.03949]&lt;br /&gt;
&lt;br /&gt;
* [http://xplorestaging.ieee.org/ielx7/7784491/7785060/07785096.pdf?arnumber=7785096 http://xplorestaging.ieee.org/ielx7/7784491/7785060/07785096.pdf?arnumber=7785096],&lt;br /&gt;
: [http://dx.doi.org/10.1109/3dv.2016.31 http://dx.doi.org/10.1109/3dv.2016.31]&lt;br /&gt;
&lt;br /&gt;
* [https://dblp.uni-trier.de/db/journals/corr/corr1607.html#SweeneyFHT16 https://dblp.uni-trier.de/db/journals/corr/corr1607.html#SweeneyFHT16],&lt;br /&gt;
: [https://arxiv.org/pdf/1607.03949 https://arxiv.org/pdf/1607.03949],&lt;br /&gt;
: [https://arxiv.org/abs/1607.03949 https://arxiv.org/abs/1607.03949],&lt;br /&gt;
: [https://academic.microsoft.com/#/detail/2964158430 https://academic.microsoft.com/#/detail/2964158430]&lt;/div&gt;</summary>
		<author><name>Scipediacontent</name></author>	</entry>

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