Discriminative Learning of Local Image Descriptors

Input:
Learning Non-Parametric
Descriptors (E-block)
S { x T ( p ), x T ( p ), l }
i i j j ij
Output: The optimized projections w.
E2: Minimizing the distance between the match pairs
while keeping the overall variance of all vectors in the
match pair set as big as possible in projection space.
J ( w)
1
T
( wx)
1
T
2
( w ( x ))
l 1 i x
j
ij
l
ij
i
2