But
for those wondering why computer vision doesn’t fit in a machine
vision blog, let me explain. It’s a little like the difference
between science and engineering. Computer vision is all the science
about how to extract information from images. Machine vision on the
other hand, is the application of computer vision tools, (like
pattern recognition,) to solve industrial problems.
Now
admittedly, machine vision is moving out of the factory and into
other areas, notably vehicle safety aids and guidance and
surveillance, but it’s still about putting the computer vision
tools to work. Computer vision is, in my humble opinion anyway, about
developing new tools.
But
for those interested in what’s coming down the pipe, Andrej
Karpathy posted a list of CVPR
2012 Highlights
on his “Musings of a computer scientist” blog. This is extremely
useful, because it save the time-crunched among us from trawling
through the immense list or oral and poster presentations. If however
you want to do this, this is where to access the list of computer
vision papers.
Happy
browsing!
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