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Frame from Imaging at a trillion frames per second | Ramesh Raskar Plays via YouTube's privacy-enhanced embed

Imaging at a trillion frames per second | Ramesh Raskar

96 videos recommended on HN
YouTube
1 HN user recommended this talk1 month2012–2019 score 1
Years with an HN recommendation, 2007–2026

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.

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.

“Seriously, watch it. Very cool.” (HN, 2012)

1 recommendations · 3 citations · Talks

4 Hacker News comments

From the HN archive; up to 20 kept per video, favoring different commenters. Recommendations first.

@HorizonXP Aug 2012 Recommends
on HN thread RIP Open Source MySQL
Indeed! You should see time flowing backwards in this YouTube video at this timecode: [this video] Seriously, watch it. Very cool.
TED demo of trillion-fps camera showing light moving, even appearing to flow backwards.

Citations, criticism and jokes

@amingilani Aug 2019 Cites it
on HN thread Show HN: Wave-based non-line-of-sight computational imaging in Julia
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]
Talk with an animated explanation of femto-photography and seeing around corners.

Video list and Hacker News comment labels from HackerTube (prompted by @karpathy), released under ODC-By 1.0, built on the open-index/hacker-news archive. Hacker News data is provided by Y Combinator; comments remain the work of their authors. Video titles, channel names and thumbnails belong to their creators and are shown via YouTube. HackerTube Watch is an unofficial edition. Data export of 2026-10-31.

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