Looking for a solid, understandable Computer Vision textbook recommendation

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I’m looking for a good textbook on computer vision to keep as a reliable reference. I have some experience with the field already, so I’m not starting from scratch, but I’d really like something that explains things clearly and can serve as my go-to when I need to revisit or refresh algorithms and concepts.

Ideally, it would be a book that you’ve personally found useful — not just comprehensive, but also understandable. Bonus points if it’s good for both theory and practical insights, although if it has no programming examples, but the theory is clear and solid I’d like to hear from it too :slight_smile:

Any recommendations from personal experience would be greatly appreciated!

Thanks in advance

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Robotics, Vision and Control 3e: Fundamental algorithms in Python: Third Edition (Peter Corke)

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I’ll recommend: Computer Vision: Algorithms and Applications, 2nd ed.

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I will also throw https://visionbook.mit.edu/ into the mix as it is a new textbook with lots of focus on newer ML based methods.

The “Related Books” section on that page is also quite useful.

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