[HN Gopher] Human image synthesis from reflected radio waves
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Human image synthesis from reflected radio waves
Author : Hard_Space
Score : 38 points
Date : 2021-12-08 16:45 UTC (6 hours ago)
(HTM) web link (www.unite.ai)
(TXT) w3m dump (www.unite.ai)
| jaywalk wrote:
| This seems to basically just be the mmWave airport body scanner
| tech scaled up to cover a whole room, and then using AI to make
| it look like a human instead of a simple 3D model. I'm sure there
| was a ton of complexity involved in all of that, but am I missing
| anything else here?
| jcun4128 wrote:
| Was curious how big the receiver is, also do you probably need
| to have a base pattern established to compare against?
| questiondev wrote:
| that's cool and scary at the same time
| pierrebai wrote:
| Isn't the training and GAN mean that the resulting image will
| look like the persons they trained? You probably could have a dog
| walk around and you'd still "see" a human in the synthetized
| image.
|
| The idea of this being used for, say, security would have obvious
| dangerous bias in it. "Hey, every robber is a middle aged black
| man."
| ChrisLomont wrote:
| >Isn't the training and GAN mean that the resulting image will
| look like the persons they trained?
|
| FaceGAN style networks generate faces that don't look like
| anyone in the training set. In this case it all depends on how
| varied of training data they used.
| throwawaymanbot wrote:
| Should make 5G a little bit more interesting.
| datameta wrote:
| The next logical step would be to create 3d models with
| interferometry triangulation. My question is: are these
| developments better or worse for physical space privacy vs
| optical/infrared recognition?
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