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.


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