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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>Daniel Freedman</author_name><author_url>https://www.microsoft.com/en-us/research/people/danifree/</author_url><title>Sparse Reflections Analysis - Microsoft Research</title><type>rich</type><width>600</width><height>338</height><html>&lt;blockquote class="wp-embedded-content" data-secret="5UqT9LAKXY"&gt;&lt;a href="https://www.microsoft.com/en-us/research/project/sparse-reflections-analysis/"&gt;Sparse Reflections Analysis&lt;/a&gt;&lt;/blockquote&gt;&lt;iframe sandbox="allow-scripts" security="restricted" src="https://www.microsoft.com/en-us/research/project/sparse-reflections-analysis/embed/#?secret=5UqT9LAKXY" width="600" height="338" title="&#x201C;Sparse Reflections Analysis&#x201D; &#x2014; Microsoft Research" data-secret="5UqT9LAKXY" 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>We present Sparse Reflections Analysis (SRA), an algorithm for removing multipath interference from Time of Flight sensors. SRA allows for very general forms of multipath, including interference with three or more paths, diffuse multipath resulting from Lambertian surfaces, and combinations thereof. SRA removes this general multipath with robust techniques based on L1 optimization. Further, due [&hellip;]</description><thumbnail_url>https://www.microsoft.com/en-us/research/wp-content/uploads/2016/02/sparse-reflections-analysis-2.jpg</thumbnail_url></oembed>
