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How are +,
x+, -, and x+
relevant for feature detection?
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What’s our
feature scoring function?
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Want E(u,v)
to be large for small shifts in all directions
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the minimum
of E(u,v) should be large, over all unit vectors [u v]
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this
minimum is given by the smaller eigenvalue (-) of H
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