Learning OpenCV
Computer Vision with the OpenCV Library
by Gary Bradski, Adrian Kaehler · first published 2008
11mentions
7recommended by
10HN commenters
2009–2026first – last mentioned
70% recommend30% neutral
Why HN recommends it
Broad, well-written introduction to OpenCV and computer vision pairing practical coding examples with the underlying intuition and math; suits engineers who want to study the methods, not just call functions.
Summarised by Claude from recommending comments
Affiliate links. As an Amazon Associate I earn from qualifying purchases.
…lot of readable, new papers, but the vast majority of the references are fairly math-heavy and somewhat removed from the applications. A very good resource is the Oreilly book ( http://www.amazon.com/Learning-OpenCV-Computer-Vision-Librar... ) on OpenCV, and the OpenCV source code ( https://code.ros.org/svn/opencv/trunk/opencv/ ). Imagemagick source ( http://www.imagemagick.org/script/index.php ) is also amazing…
on “Ask HN: Is there a canonical source for image processing papers and information?” ↗Have you looked at the book "Learning OpenCV", by Bradski and Kaehler, published by O'Reilly? I haven't done much work with OpenCV, but I have read the entire book and it seemed to be a good introduction. A companion collection of examples is…
on “Was Alan Turing right about the mechanism behind tiger stripes?” ↗The "official" O'Reilly books are pretty good, Learning OpenCV by Kaehler and Bradski (I say official because Gary Bradski was one of the original maintainers). Make sure you get the new one for OpenCV 3. They cover a lot of the algorithms behind the code which is…
on “Augmented reality with Python and OpenCV” ↗O'Reilly "Learning OpenCV" is very well written and covers a wide range of topics. http://www.amazon.com/Learning-OpenCV-Computer-Vision-Librar...
on “Ask HN: Learning about machine vision?” ↗Before this post inspires people to go on a crazy I-can-do-computer-vision-the-hard-way binge and impulse-buy O'Reilly's (excellent) "Learning OpenCV", the second edition is being released sometime this month so you may want to hold off: http://shop.oreilly.com/product/0636920022497.do
on “OpenCV vs. Matlab vs. SimpleCV” ↗A good follow on from this is the Learning OpenCV book (O'Reilly), written by a couple of the lead developers. It goes into detail on the mathematics, but it's not heavy or verbose at all. I found it far more useful than a lot of introductory image processing…
on “Image Processing 101” ↗I'd suggest one of the 'Learning OpenCV' editions for that. They (or atleast the first edition which is 8 or 9 years old now) cover a lot of OpenCV algorithms and more importantly, the underlying intuition/math. It's the kind of book you need…
on “OpenCV 3.2” ↗…vision with coding walkthroughs. Understand the examples and rewrite applications. Then Dive Deep: Get the new OpenCV3 book, a nice deep overview of many topics in computer vision. https://www.amazon.com/Learning-OpenCV-Computer-Vision-Libra... And watch this course on youtube: https://www.youtube.com/watch?v=skaQfPQFSyY&list=PL4B3F8D4A5... I feel like then, you will have so much exposure that when you dive into formal…
on “Ask HN: What are the best resources to learn computer vision?” ↗…lidar is used to remove the ambiguity in a local ground scan, and cameras extrapolate overlapping texture gradients to guess distant surface structure ( documented in the old book https://www.amazon.com/Learning-OpenCV-Computer-Vision-Libra... .) There are some fairly good FOSS tools around like COLMAP, if you want to learn why automatic monocular pose recovery and SfM is hard. Real autonomous robotics is hard, and…
on “Ask HN: How to get started with robotics as a hobbyist?” ↗He wrote the Learning OpenCV book but I'm not sure it's accurate to say he created openCV... It was created by intel internally (by a ton of folks like Vadim Pisarevsky) and later open sourced. https://en.wikipedia.org/wiki/OpenCV
on “Magic Leap Alleges Workers Stole Its Secrets” ↗The main reason is that I haven't read up to that section of "Learning OpenCV" book... I guess I have some additions to my reading list ;)
on “Webapp: image recognition to find nearest tennis courts from satellite photos” ↗