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An excellent book for fundamentals. Still haven't found a good textbook that covers the next level, that takes you from a student to competent practitioner. Advanced knowledge that I've picked up in this field has been from coworkers, painfully gained experience, and reading Kaggle writeups.
This is great, but why is it posted here like it's new? This is from 2022
It is a good thing that links to useful resources like these are reposted every now and then. For many, like myself, this could be the first time seeing it. Perhaps a date tag would add some clarity for those who have already see it.
This is a great book - learned a lot from the first edition back in the day, and got the second edition as soon as it came out. It's always fun to just leaf through a random chapter.
Any updates using AI? One shot camera calibration?
Genuinely curious: is it even still relevant today? I've got the impression that there were a lot of these elaborate techniques and algorithms before around 2016, some of which I even learned, which subsequently were basically just replaced by some single NN-model trained somewhere in Facebook, which you maybe need to fine-tune to your specific task. So it's all got boring, and learning them today is akin to learning abacus or finding antiderivatives by hand at best.