Learning OpenCV 3 cover
Learning OpenCV 3
by Adrian Kaehler, Gary Bradski
Description: Learning OpenCV 3 provides a comprehensive introduction to computer vision using the OpenCV library and C++. It covers fundamental techniques and practical applications for developers, researchers, and enthusiasts working with image processing and computer vision
ISBN: 0636920044765
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lovelearning · 2016-12-28 · Original thread
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 to make time for and study, but will make you feel good when you do :D. There's a 3rd edition [1] now, which I haven't read but has one of the original authors as a co-author and the TOC seems as comprehensive as the 1st edition.

If you develop a taste for CV theory and math, then I suggest Richard Szeliski's [2] book. It's very readable.

Neither book covers any of the latest deep learning stuff. You have to look elsewhere for that.

[1] http://shop.oreilly.com/product/0636920044765.do

[2] http://szeliski.org/Book/