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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>Chengyun Qiu</author_name><author_url>https://www.microsoft.com/en-us/research/people/v-cheqi/</author_url><title>3D Object Reconstruction and Recognition - Microsoft Research</title><type>rich</type><width>600</width><height>338</height><html>&lt;blockquote class="wp-embedded-content" data-secret="55FwnbjsqC"&gt;&lt;a href="https://www.microsoft.com/en-us/research/project/3d-object-reconstruction-recognition/"&gt;3D Object Reconstruction and Recognition&lt;/a&gt;&lt;/blockquote&gt;&lt;iframe sandbox="allow-scripts" security="restricted" src="https://www.microsoft.com/en-us/research/project/3d-object-reconstruction-recognition/embed/#?secret=55FwnbjsqC" width="600" height="338" title="&#x201C;3D Object Reconstruction and Recognition&#x201D; &#x2014; Microsoft Research" data-secret="55FwnbjsqC" 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 study the problem of 3D object reconstruction and recognition. For reconstruction, we aim at developing algorithms and systems to lower down the barrier of 3D reconstruction for common users. In this way, we can collect a world-class 3D object repository via leveraging crowdsourcing. For recognition, we aim at dealing with a large-scale task (e.g. [&hellip;]</description><thumbnail_url>https://www.microsoft.com/en-us/research/wp-content/uploads/2016/08/3d_obj_recognition-1024x462.png</thumbnail_url></oembed>
