Talks to Watch

Imaging at a trillion frames per second | Ramesh Raskar

3.2M views · Jul 26, 2012 · 11:02 · 1 HN recommender · 4 mentions · discussed 2012–2019

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 points people here: 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.

“Seriously, watch it. Very cool.”HN comment, 2012

What Hacker News said 4

RecommendsHorizonXPAug 2012

“Seriously, watch it. Very cool.”

TED demo of trillion-fps camera showing light moving, even appearing to flow backwards.

Full comment

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

Cites it_nedRDec 2014

“did a TED talk on it 2 years ago”

Ramesh Raskar's TED talk on the femto-photography project.

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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
Cites itirisliOct 2018

“has a TED talk that explains it in detail”

TED talk explaining in detail how the trillion-fps camera works.

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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
Cites itamingilaniAug 2019

“which had an animation showing how it was done for an ELI5”

Talk with an animated explanation of femto-photography and seeing around corners.

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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