HorizonXPon Hacker News • Recommends
On “RIP Open Source MySQL”
#femto-photography#rameshraskar#computationalphotography
28M subscribers • 18 videos on Hallway
Beginner. No background in the topic needed.
3.2M views14 years ago1 recommendation
Graphics and audioHardwareComputer visionRendering
Ramesh Raskar demonstrates femto-photography, an imaging technique that captures light in motion at one trillion frames per second.
ted.com Ramesh Raskar presents femto-photography, a new type of imaging so fast it visualizes the world one trillion frames per second, so detailed it shows light itself in motion. This technology may someday be used to build cameras that can look "around" corners or see inside the body without X-rays. TEDTalks is a daily video podcast of the best talks and performances from the TED Conference, where the world's leading thinkers and doers give the talk of their lives in 18 minutes. Featured speakers have included Al Gore on climate change, Philippe Starck on design, Jill Bolte Taylor on observing her own stroke, Nicholas Negroponte on One Laptop per Child, Jane Goodall on chimpanzees, Bill Gates on malaria and mosquitoes, Pattie Maes on the "Sixth Sense" wearable tech, and "Lost" producer JJ Abrams on the allure of mystery. TED stands for Technology, Entertainment, Design, and TEDTalks cover these topics as well as science, business, development and the arts. Closed captions and translated subtitles in a variety of languages are now available on TED.com, at ted.com/translate If you have questions or comments about this or other TED videos, please go to support.ted.comWhat people say. Recommended as an mind-blowing demonstration of computational photography and imaging light in motion.
HorizonXPon Hacker News • Recommends
On “RIP Open Source MySQL”
_nedRon Hacker News • Mentions
On “Femto-Photography: Visualizing Photons in Motion at a Trillion Frames per Second”
irislion Hacker News • Mentions
On “Camera freezes time at 10 trillion frames per second”
amingilanion Hacker News • Mentions
On “Show HN: Wave-based non-line-of-sight computational imaging in Julia”