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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>3D Scanning: A Comprehensive Survey · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/1801.08863/</link><description>Collected HN comments and submissions linking this paper.</description><language>en</language><lastBuildDate>Mon, 02 Nov 2026 11:16:22 GMT</lastBuildDate><atom:link href="https://hackerpaper.kaipfister.de/p/1801.08863/feed.xml" rel="self" type="application/rss+xml" /><item><title>3D Scanning: A Comprehensive Survey — mentioned by piceas</title><link>https://news.ycombinator.com/item?id=17810345</link><guid isPermaLink="false">urn:hackerpapers:mention:1801.08863:17810345</guid><pubDate>Tue, 21 Aug 2018 15:18:16 GMT</pubDate><description>&lt;p&gt;I didn&amp;#x27;t find the winter trail video but stumbled upon some interesting links: 2018 3D Scanning: A Comprehensive Survey https://arxiv.org/abs/1801.08863 2012-2014ish BigSFM: Reconstructing the World from Internet Photos http://www.cs.cornell.edu/projects/bigsfm/ David J. Crandall https://www.cs.indiana.edu/~djcran/#research Andrew Owens http://andrewowens.com/ Also check out his on/offscreen audio source separation work. It&amp;#x27;s pretty neat. (2018) Audio-Visual Scene Analysis with Self-Supervised Multisensory Features http://andrewowens.com/multisensory/ Noah Snavely…&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/1801.08863/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.CV</category></item></channel></rss>
