Discriminative Learning of Local Image Descriptors
Discriminative Learning of Local Image Descriptors
Discriminative Learning of Local Image Descriptors
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<strong>Learning</strong> Non-Parametric<br />
<strong>Descriptors</strong> (E-block)<br />
E4: Seeking the embedding space under which the<br />
distances between match pairs are minimized and the<br />
distances between non-matches pairs are maximized.<br />
J ( w)<br />
<br />
<br />
l<br />
ij<br />
0<br />
T<br />
( w ( x x ))<br />
2<br />
<br />
T<br />
2<br />
( w ( x ))<br />
l 1 i x<br />
<br />
j<br />
ij<br />
i j<br />
E6: Find projections that minimize the ratio <strong>of</strong> in-class<br />
variance for match pairs to the total data variance.<br />
( wx)<br />
T 2<br />
xiS i<br />
3( ) <br />
<br />
T<br />
2<br />
( w ( x ))<br />
l 1 i x<br />
<br />
j<br />
J w<br />
<br />
ij<br />
2