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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Pose-based Deep Gait Recognition · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/1710.06512/</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/1710.06512/feed.xml" rel="self" type="application/rss+xml" /><item><title>Pose-based Deep Gait Recognition — mentioned by johaugum</title><link>https://news.ycombinator.com/item?id=20001827</link><guid isPermaLink="false">urn:hackerpapers:mention:1710.06512:20001827</guid><pubDate>Fri, 24 May 2019 14:23:56 GMT</pubDate><description>&lt;p&gt;The same fundamentals used in facial recognition can be applied to 3D pose estimation for gait recognition. This allows identification of a person without biometric features like a face or iris [1]. Facial recognition is used as a catch-all term because it&amp;#x27;s easily understood, but the deep-learning behind it is much more widely applicable. [1] https://arxiv.org/abs/1710.06512&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/1710.06512/"&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>
