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Imaging at a trillion frames per second | Ramesh Raskar

Imaging at a trillion frames per second | Ramesh Raskar on HackerTube: recommended by 1 Hacker News commenter across 1 month, 2012–2019.

TED

talk · evergreen

Open on YouTube

Ramesh Raskar presents femto-photography, a technique that captures a trillion frames per second, fast enough to show light itself moving through a scene. He discusses possible uses such as cameras that see around corners or inside the body.

Why Hacker News recommends it

HN points to it as the clearest and most striking explanation of femto-photography, with animations that make it easy to follow whenever related imaging stories appear.

people recommended it
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discussed on HN
2012–2019
“Seriously, watch it. Very cool.”
— HorizonXP, Aug 2012, in “RIP Open Source MySQL”

What HN commenters said

4 Hacker News comments link this video. Each one links back to its thread.

HorizonXPAug 2012Recommends

Indeed! You should see time flowing backwards in this YouTube video at this timecode: ▶ this video Seriously, watch it. Very cool.

in “RIP Open Source MySQL” · View on HN

amingilaniAug 2019Cites it

There was a similar technique discussed in a Ted Talk using femto-photography, which had an animation showing how it was done for an ELI5[0]. The talk contains references future technology to see around corners. This article may have been inspired by the talk, but it certainly makes it much more available for the rest of us. [0]: ▶ this video

in “Show HN: Wave-based non-line-of-sight computational imaging in Julia” · View on HN

irisliOct 2018Cites it

The team behind the video of the coke bottle has a TED talk that explains it in detail: ▶ this video Edit: oops I misread your comment

in “Camera freezes time at 10 trillion frames per second” · View on HN

_nedRDec 2014Cites it

Not sure why exactly this is news. Ramesh Raskar, the head of the MIT team doing the project did a TED talk on it 2 years ago : ▶ this video

in “Femto-Photography: Visualizing Photons in Motion at a Trillion Frames per Second” · View on HN

Topics & tags

Computer vision, speech & NLPFundamental physicsEveryday physics & science demosultrafast imaginglightted talkcomputational imagingnon-line-of-sight