Well-distributed SIFT features

R. Song, J. Szymanski

Research output: Contribution to journalArticlepeer-review

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 languageEnglish
Pages (from-to)308-310
Number of pages2
JournalElectronics Letters
Volume45
Issue number6
DOIs
Publication statusPublished - 12 Mar 2009

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