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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>Tricia Mayer</author_name><author_url>https://www.microsoft.com/en-us/research/people/tmayer/</author_url><title>Isosurface Topology Simplification - Microsoft Research</title><type>rich</type><width>600</width><height>338</height><html>&lt;blockquote class="wp-embedded-content" data-secret="ulKJlv1QXm"&gt;&lt;a href="https://www.microsoft.com/en-us/research/publication/isosurface-topology-simplification/"&gt;Isosurface Topology Simplification&lt;/a&gt;&lt;/blockquote&gt;&lt;iframe sandbox="allow-scripts" security="restricted" src="https://www.microsoft.com/en-us/research/publication/isosurface-topology-simplification/embed/#?secret=ulKJlv1QXm" width="600" height="338" title="&#x201C;Isosurface Topology Simplification&#x201D; &#x2014; Microsoft Research" data-secret="ulKJlv1QXm" 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>Many high-resolution surfaces are created through isosurface extraction from volumetric representations, obtained by 3D photography, CT, or MRI. Noise inherent in the acquisition process can lead to geometrical and topological errors. Reducing geometrical errors during reconstruction is well studied. However, isosurfaces often contain many topological errors, in the form of tiny topological handles. These nearly [&hellip;]</description></oembed>
