Abstract
A method to enhance the recognition of spatially distributed features, based on the scale invariant feature transform (SIFT), is reported. The key idea is to modify the way in which the selection of a set of contender interest points from each input image is carried out, using a non-maximal suppression approach in the different scale spaces.
Original language | English |
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Pages (from-to) | 308-310 |
Number of pages | 2 |
Journal | Electronics Letters |
Volume | 45 |
Issue number | 6 |
DOIs | |
Publication status | Published - 12 Mar 2009 |