Song, Ran and Szymanski, John (2009) Well-distributed SIFT features. Electronics Letters, 45 (6). pp. 308-310. ISSN 0013-5194
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Item Type: | Article |
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Item Status: | Live Archive |
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.
Keywords: | feature, SIFT |
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Subjects: | G Mathematical and Computer Sciences > G740 Computer Vision |
Divisions: | College of Science > School of Computer Science |
ID Code: | 13280 |
Deposited On: | 05 Feb 2014 17:15 |
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