Marc Levoy - Lectures on Digital Photography - Lecture 1 (21mar16).mp4
What it is
The first lecture in an 18-part series on digital photography from Marc Levoy's Stanford CS 178 course, recorded at Google in 2016. The series covers how digital cameras work and computational photography, with slides and assignments available on the course site.
Why Hacker News recommends it
HN recommends it as a free, serious introduction to digital and computational photography from a professor who helped build the early Pixel cameras.
- 5 people recommended it
- 5 different months
- 0 strong recommendations
- first 2019, last 2026
What HN commenters said
“Marc Levoy, who spoke at the Google event today is a Professor Emeritus at Stanford”
Free Stanford lecture series on digital photography by a Google researcher.
johnmaguire2013, 2019-10 · Recommendation · in “Google Announces Pixel 4”
“this excellent course shared by Google”
Excellent course where Levoy explains why camera makers shunned computational photography.
deadmutex, 2020-10 · Recommendation · in “Sony cameras can now be used as webcams for Mac”
“one of 18 videos representing lectures on digital photography, from a version of my Stanford course CS 178”
Stanford CS 178 digital photography lecture series recorded at Google.
sys32768, 2023-01 · Recommendation · in “Ask HN: What's the best lecture series you've ever seen?”
“if you want a more serious introduction to digital photography, I recommend the lectures by Marc Levoy from his Stanford course”
A serious introduction to digital photography from Stanford course.
asafira, 2025-05 · Recommendation · in “What is HDR, anyway?”
“interesting lecture series about computational photography by Marc Levoy, who worked on the earlier Pixel cameras”
Lecture series on computational photography by a Pixel camera pioneer.
solarkraft, 2026-05 · Recommendation · in “What makes a good smartphone camera?”
Excerpts from Hacker News comments, linked to the originals. Summaries and labels were written by a language model from those comments.
Topics: computational photography, cameras, stanford, optics, image processing
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