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Thanks for the link!

Not to try to highjack the post, but for those interested in resources for computer vision see my post from a few months ago: http://colinlea.posterous.com/on-self-guided-study-of-comput...

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Good stuff - I added http://szeliski.org/Book/ to my reading list, thanks for sharing the link. There's a huge overlap for certain classes of problems. CV in many ways resembles the same problems with large online data streams, noisy, time critical, huge volumes of data - feature extraction is problematic. Hybrid solutions usually required.

I've found that reading books from other ML domains helps out in understanding the application and getting ideas on how to approach the problem.

As I experienced it, Szeliski's book is better as a reference as it covers lots of material (just see the number of citations at the end). I don't think it's an easy read without reading (some of) the cited papers (or having background knowledge).

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