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.
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.
Would love to see / hear if there are any undergrad/grad-level courses that follow this book (or others) that cover computer vision - from basic-to-advanced.
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.
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.
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[ 4.4 ms ] story [ 35.9 ms ] threadWould love to see / hear if there are any undergrad/grad-level courses that follow this book (or others) that cover computer vision - from basic-to-advanced.
Thanks!
Perhaps this