2s exposure time, 64x64 raster grid, looking behind a barrier 1.43km away.
Summary: by bouncing light off of a target barrier and having the light scatter around the barrier, you can compute an image of objects behind the barrier.
I was immediately reminded of the Dual Photography paper (well, I had to look it up first; I only remembered the "photographing a playing card that is facing away" demo at the end):
That's an absolutely science-fiction-esque paper. I can't believe that's real, and I'm surprised to see such little follow-up research. I assume it's not practical to generate the light transport data with any reasonable speed?
What are some of the applications of this technology?
Edit: I'm also wondering if anyone has any idea as to the estimated cost of such a technology? Thousands, tens/hundred of thousands, millions? A quick search of lidar sensors seem to be in the range of $2500 - ~$10000 for ranges of sub 30 meters.
This technology seems similar(?) to lidar from what I can tell.
Military, police, surveillance. The usual suspects when it comes to oppressive regimes like china.
On a more upbeat note though, imagine the possibility of producing a 3d image of your internals during keyhole surgery or inspecting remote structures like solar panels and dams via satellite.
My local police department would be really interested in this tech. They've been using automated license plate readers, facial recognition tech, drones, predictive policing, and have a Ring doorbell partnership.
So these guys successfully got images of objects sitting behind a solid barrier from nearly a mile away by analyzing photons scattered around the barrier.
I imagine the only way to hide objects from this technology is to enclose them well enough to prevent most photons that bounce off the objects from leaving the enclosure.
And this is just an early-stage proof-of-concept. There's a good chance the technology can and will improve significantly over time.
This is neat. Assuming the usual things about costs going down and capabilities increasing, both exponentially of course... then one can imagine some novel and non-military applications.
For example, vehicles seeing around corners to avoid collisions or being able to see further into damaged industrial sites than robots can go today (i.e. Fukushima), or for cave explorations (especially if they improve significantly and start building images from multiple reflections - see around the corners that themselves are around corners).
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[ 3.2 ms ] story [ 53.6 ms ] threadSummary: by bouncing light off of a target barrier and having the light scatter around the barrier, you can compute an image of objects behind the barrier.
- http://graphics.stanford.edu/papers/dual_photography/
- https://youtu.be/p5_tpq5ejFQ
Edit: I'm also wondering if anyone has any idea as to the estimated cost of such a technology? Thousands, tens/hundred of thousands, millions? A quick search of lidar sensors seem to be in the range of $2500 - ~$10000 for ranges of sub 30 meters.
This technology seems similar(?) to lidar from what I can tell.
On a more upbeat note though, imagine the possibility of producing a 3d image of your internals during keyhole surgery or inspecting remote structures like solar panels and dams via satellite.
[1]: https://www.eff.org/issues/street-level-surveillance
Or other non-line-of-sight things, like sensing through an aperture in a body?
I imagine that idea could be improved more with this technology, but Tesla is very anti lidar so it’s have to be someone else.
Most of the cost will be in the telescopes.
If you don't count personnel time integrating/fiddling around, maybe $1000 at qty 1?
I imagine the only way to hide objects from this technology is to enclose them well enough to prevent most photons that bounce off the objects from leaving the enclosure.
And this is just an early-stage proof-of-concept. There's a good chance the technology can and will improve significantly over time.
Just saying.
For example, vehicles seeing around corners to avoid collisions or being able to see further into damaged industrial sites than robots can go today (i.e. Fukushima), or for cave explorations (especially if they improve significantly and start building images from multiple reflections - see around the corners that themselves are around corners).