A mathy intro to photography from Google/Stanford’s Marc Levoy

Marc Levoy has been one of the key leaders behind Google’s recent advances in computational photography, including portrait mode & HDR+. He’s also a professor emeritus at Stanford, and in this lecture series, he offers a very thorough, technical education in digital photography—for free.

The only knowledge I assume is enough facility and comfort with mathematics that you’re not afraid to see the depth-of-field formula in all its glory, and an integral sign here or there won’t send you running for the hills. Some topics will require concepts from elementary probability and statistics (like mean and variance), but I define these concepts in lecture. I also make use of matrix algebra, but only at the level of matrix multiplication. Finally, an exposure to digital signal processing or Fourier analysis will give you a better intuition for some topics, but it is not required.


[YouTube] [Via]

Photography: Microscopic landscapes in 4K

Drew Geraci takes us on a beautiful, 1000x-closer tour of the not-so-ordinary world:

 Drew writes,

Since I was capturing motion now everything needed to be 100% completely still. This was the hard part at 1000x magnification. I must have filmed the same sequence 10 or 20 times before I got a completely still and usable shot. The slightest vibration could easily ruin the scene.

The next challenge was lightning. Capturing video via a microscope requires a ton of light and the microscope’s light is only so powerful. Each bulb only lasted for up to 3 hours at max power before they would die. I must have gone through 8 or 9 bulbs during the course of filming (and they’re not cheap bulbs!). Because of this, I needed to rig up external lightning that could help illuminate the scene. I ended up using a small Manfrotto Lykos light which did the trick.



[Vimeo] [Via]