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Well-distributed SIFT features

Version 2 2024-03-12, 12:30
Version 1 2023-10-18, 08:22
journal contribution
posted on 2024-03-12, 12:30 authored by Ran Song, John Szymanski
<p>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.</p>

History

School affiliated with

  • School of Computer Science (Research Outputs)

Publication Title

Electronics Letters

Volume

45

Issue

6

Pages/Article Number

308-310

Publisher

Institution of Engineering and Technology (IET)

ISSN

0013-5194

eISSN

1350-911X

Date Submitted

2014-02-05

Date Accepted

2014-02-05

Date of First Publication

2014-02-05

Date of Final Publication

2014-02-05

ePrints ID

13280

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