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Comment by aeoleonn | Hacker News Reader

Learning the basics of Computer Vision and Image Recognition via Machine Learning by following along with this book:

"Learning OpenCV 4 Computer Vision with Python 3: Get to grips with tools, techniques, and algorithms for computer vision and machine learning"

by Joseph Howse, Joe Minichino - 2020, Packt Publishing

available here (library genesis): http://libgen.lc/item/index.php?md5=9208FA33E5C1F93918E128F8...

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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/

This looks choice! Seriously-- looks like just the guide I need. Plus the author is a professor of the topic material. I am super grateful to you for making me aware of this resource.

Thanks for recommending it! Just this week I started a sabbatical devoted to putting together a computer vision + ML project. So this will be useful. Adding it to my learning journal.

If you are interested in more maths and 3D Geometry, the bible of the field is "Multiple view geometry in computer vision" by Hartley and Zisserman. Szielski's book is very hands on, but is it more of a formulas + litterature review book than a clean derivation book.

A lot of 3D Geometry algorithms are based on clean derivations and estimations, thus depending on your math fluency, you will find great enjoyment in that book too. The proofs flow really well.

Thanks for the book recommendation. I've also got a machine vision project I've been meaning to tackle one-of-these-days, and hopefully this will be enough of a nudge to get me started!

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