Computer Vision
by Richard Szeliski · first published 2010
10mentions
7recommended by
10HN commenters
2009–2025first – last mentioned
70% recommend30% neutral
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…can be tragically comical how obtuse an academic paper can make a simple concept. However, one of the most recommended books on the subject is available online, so you might want to check that out. Computer Vision: Algorithms and Applications by Richard Szeliski http://szeliski.org/Book/
on “Lens Blur in the new Google Camera app” ↗I found Computer Vision: Algorithms and Applications really good. You can download it for free (for personal use) at http://szeliski.org/Book/.
on “Ask HN: What are the best resources to learn computer vision?” ↗Cool. Another book you'll want to check out is Richard Szeliski's free draft of "Computer Vision: Algorithms and Applications", second edition, https://szeliski.org/Book/
on “Ask HN: What Are You Learning?” ↗There is a draft of Computer Vision: Algorithms and Applications by Richard Szeliski available for free online http://research.microsoft.com/en-us/um/people/szeliski/Book/. It's good overall, but some sections are still incomplete (missing…
on “Ask HN: Image recognition books and resources” ↗Szeliski also has written a comprehensive Computer Vision book for those looking to learn the field. It's a fairly good one (and available for free online - http://szeliski.org/Book/).
on “First-Person Hyper-lapse Videos” ↗The other main one is Szeliski's Computer Vision 2nd Ed from 2022 https://szeliski.org/Book/ Forsyth & Ponce is also good but somewhat old by now. And for 3d, the classic is still Hartley & Zisserman's Multiple View Geometry.
on “Foundations of Computer Vision (2024)” ↗…Subfields Natural Language Processing (NLP): "Speech and Language Processing" by Daniel Jurafsky and James H. Martin "Natural Language Processing with Python" by Steven Bird, Ewan Klein, and Edward Loper Computer Vision: "Computer Vision: Algorithms and Applications" by Richard Szeliski "Deep Learning for Computer Vision" by Adrian Rosebrock Reinforcement Learning: "Reinforcement Learning: An Introduction" by Richard…
on “Ask HN: I am a full stack developer, where do I start learning for AI” ↗…Gerald Jay Sussman to ±spend the summer linking a camera to a computer and getting the computer to describe what it saw². We now know that the problem is slightly more difficult than that." (Szeliski 2009, Computer Vision) :)
on “NLP-generated summaries could replace traditional headlines” ↗There's even a HN post from almost exactly 5 years ago: Computer Vision: Algorithms and Applications, 2nd ed (szeliski.org) 0 comments https://news.ycombinator.com/item?id=24945823 But anyway; why not? Yes, add (2020) to the title, by all means.
on “Computer Vision: Algorithms and Applications, 2nd ed” ↗Computer Vision: Algorithms and Applications 2nd Edition is free to download for personal use at https://szeliski.org/Book/
on “Grayskull: A tiny computer vision library in C for embedded systems, etc.” ↗