Two Minute Papers: AI Learns Geometric Descriptors From Depth Images | Two Minute Papers #148
The paper “3DMatch: Learning Local Geometric Descriptors from RGB-D Reconstructions” is available here:
http://3dmatch.cs.princeton.edu/
Recommended for you:
Our earlier episode on Siamese networks – https://www.youtube.com/watch?v=a3sgFQjEfp4
WE WOULD LIKE TO THANK OUR GENEROUS PATREON SUPPORTERS WHO MAKE TWO MINUTE PAPERS POSSIBLE:
Andrew Melnychuk, Christian Lawson, Daniel John Benton, Dave Rushton-Smith, Esa Turkulainen, Sunil Kim, VR Wizard.
https://www.patreon.com/TwoMinutePapers
Awesome Two Minute Papers merch: http://twominutepapers.com/
Music: Antarctica by Audionautix is licensed under a Creative Commons Attribution license (https://creativecommons.org/licenses/by/4.0/)
Artist: http://audionautix.com/
Thumbnail background image credit: https://pixabay.com/photo-1851258/
Splash screen/thumbnail design: Felícia Fehér – http://felicia.hu
Károly Zsolnai-Fehér’s links:
Facebook → https://www.facebook.com/TwoMinutePapers/
Twitter → https://twitter.com/karoly_zsolnai
Web → https://cg.tuwien.ac.at/~zsolnai/