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<oembed><version>1.0</version><provider_name>Department of Computer Science</provider_name><provider_url>https://www.cs.jhu.edu</provider_url><title>Computer Science Student Defense:: Fabian Prada Nino, Johns Hopkins University &#x2013; &#x201C;Signal Processing on Textured Meshes&#x201D; - Department of Computer Science</title><type>rich</type><width>600</width><height>338</height><html>&lt;blockquote class="wp-embedded-content"&gt;&lt;a href="https://www.cs.jhu.edu/event/computer-science-student-defense-fabian-prada-nino-johns-hopkins-university-signal-processing-on-textured-meshes/"&gt;Computer Science Student Defense:: Fabian Prada Nino, Johns Hopkins University &#x2013; &#x201C;Signal Processing on Textured Meshes&#x201D;&lt;/a&gt;&lt;/blockquote&gt;
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&lt;/script&gt;&lt;iframe sandbox="allow-scripts" security="restricted" src="https://www.cs.jhu.edu/event/computer-science-student-defense-fabian-prada-nino-johns-hopkins-university-signal-processing-on-textured-meshes/embed/" width="600" height="338" title="&#x201C;Computer Science Student Defense:: Fabian Prada Nino, Johns Hopkins University &#x2013; &#x201C;Signal Processing on Textured Meshes&#x201D;&#x201D; &#x2014; Department of Computer Science" frameborder="0" marginwidth="0" marginheight="0" scrolling="no" class="wp-embedded-content"&gt;&lt;/iframe&gt;</html><description>LocationMalone 228AbstractIn this thesis we extend signal processing techniques originally formulated in the context of image processing to techniques that can be applied to signals on arbitrary triangles meshes. We develop methods for the two most common representations of signals on triangle meshes: signals sampled at the vertices of a finely tessellated mesh, and signals&hellip;</description></oembed>
