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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.

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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.

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