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<oembed><version>1.0</version><provider_name>Microsoft Research</provider_name><provider_url>https://www.microsoft.com/en-us/research</provider_url><author_name>Rick Szeliski</author_name><author_url>https://www.microsoft.com/en-us/research/people/szeliski/</author_url><title>Shape from rotation - Microsoft Research</title><type>rich</type><width>600</width><height>338</height><html>&lt;blockquote class="wp-embedded-content" data-secret="eUQHfOZdLD"&gt;&lt;a href="https://www.microsoft.com/en-us/research/publication/shape-from-rotation/"&gt;Shape from rotation&lt;/a&gt;&lt;/blockquote&gt;&lt;iframe sandbox="allow-scripts" security="restricted" src="https://www.microsoft.com/en-us/research/publication/shape-from-rotation/embed/#?secret=eUQHfOZdLD" width="600" height="338" title="&#x201C;Shape from rotation&#x201D; &#x2014; Microsoft Research" data-secret="eUQHfOZdLD" frameborder="0" marginwidth="0" marginheight="0" scrolling="no" class="wp-embedded-content"&gt;&lt;/iframe&gt;&lt;script type="text/javascript"&gt;
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</html><description>The construction of a 3D surface model of an object rotating in front of a camera is examined. Previous research in depth from motion has demonstrated the power of using an incremental approach to depth estimation. The author extends this approach to more general motion and uses a full 3D surface model instead of a [&hellip;]</description></oembed>
