End-to-End Learning of Geometry and Context for Deep Stereo Regression — mentioned by gtmtg

Sun, 26 Aug 2018 01:22:29 GMT

Don't think it's exactly what you're talking about (I'm sure there are other works much closer to what you have in mind, just can't recall off the top of my head) — but you might find PoseNet (https://www.cv-foundation.org/openaccess/content_iccv_2015/p...) interesting. Not explicitly 3D, but estimates where in a large-scale scene a picture was taken using an end-to-end convolutional network. With that said, I think there's still a ton of merit in classical geometric approaches like ICP — there's a real, geometric basis to why they work. Convolutional networks can demonstrate some pretty…

Paper and discussion history. A mention is not an endorsement.

End-to-End Learning of Geometry and Context for Deep Stereo Regression · HackerPapers discussions

End-to-End Learning of Geometry and Context for Deep Stereo Regression — mentioned by gtmtg