imaging
11:02Imaging at a trillion frames per second | Ramesh Raskar
3.2M views • 14 years ago
TED
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.
41:07KEYNOTE / Robert Erdmann
24K views • 5 years ago
PyCon US
Robert Erdmann, a materials scientist at the Rijksmuseum, gives a PyCon keynote on the ultra-high-resolution imaging of Rembrandt's Night Watch. He covers the automated gantry camera system, the Python software that drives it, and the large volumes of image data involved.
16:51How we can use light to see deep inside our bodies and brains | Mary Lou Jepsen
297K views • 8 years ago
TED
Inventor Mary Lou Jepsen demonstrates using red light and sound to see inside the body and brain, aiming at tumor detection and neural activity measurement, and potentially a cheaper wearable MRI replacement.
14:37The most important lesson from 83,000 brain scans | Daniel Amen | TEDxOrangeCoast
24.4M views • 13 years ago
TEDx Talks
Psychiatrist Daniel Amen discusses lessons from 83,000 brain scans, arguing that brain activity patterns relate to psychological symptoms and that you can improve your brain.
1:25:27Neuroscience of Personality | Dario Nardi | Talks at Google
163K views • 15 years ago
Talks at Google
UCLA professor Dario Nardi presents brain-imaging research suggesting that different Myers-Briggs personality types use their brains in different ways. He discusses how each type can reach a state of creative flow. It is aimed at a general audience.
1:41:27Defcon 21 - Decapping Chips The Strike Easy Hard Way
69K views • 12 years ago
HackersOnBoard
A DEF CON 21 talk by Adam Laurie and Zac Franken on decapping chips, covering how to remove chip packaging and image the die to read out contents such as ROM.
11:47!!Con 2017: HDR Photography in Microsoft Excel?! by Kevin Chen
119K views • 9 years ago
Confreaks
A short conference talk from !!Con 2017 in which Kevin Chen explains the HDR imaging algorithm from a foundational paper, framing it as a system of linear equations, and implements it in a Microsoft Excel spreadsheet. No prior image processing knowledge is needed.