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Well-distributed SIFT features

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Well-distributed SIFT features. / Song, R.; Szymanski, J.

In: Electronics Letters, Vol. 45, No. 6, 12.03.2009, p. 308-310.

Research output: Contribution to journalArticlepeer-review

Harvard

Song, R & Szymanski, J 2009, 'Well-distributed SIFT features', Electronics Letters, vol. 45, no. 6, pp. 308-310. https://doi.org/10.1049/el.2009.2954

APA

Song, R., & Szymanski, J. (2009). Well-distributed SIFT features. Electronics Letters, 45(6), 308-310. https://doi.org/10.1049/el.2009.2954

Vancouver

Song R, Szymanski J. Well-distributed SIFT features. Electronics Letters. 2009 Mar 12;45(6):308-310. https://doi.org/10.1049/el.2009.2954

Author

Song, R. ; Szymanski, J. / Well-distributed SIFT features. In: Electronics Letters. 2009 ; Vol. 45, No. 6. pp. 308-310.

Bibtex - Download

@article{634439ec9e434976af2c0a152674d82f,
title = "Well-distributed SIFT features",
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.",
author = "R. Song and J. Szymanski",
year = "2009",
month = mar,
day = "12",
doi = "10.1049/el.2009.2954",
language = "English",
volume = "45",
pages = "308--310",
journal = "Electronics Letters",
issn = "0013-5194",
publisher = "Institution of Engineering and Technology",
number = "6",

}

RIS (suitable for import to EndNote) - Download

TY - JOUR

T1 - Well-distributed SIFT features

AU - Song, R.

AU - Szymanski, J.

PY - 2009/3/12

Y1 - 2009/3/12

N2 - 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.

AB - 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.

UR - http://www.scopus.com/inward/record.url?scp=62549100447&partnerID=8YFLogxK

U2 - 10.1049/el.2009.2954

DO - 10.1049/el.2009.2954

M3 - Article

VL - 45

SP - 308

EP - 310

JO - Electronics Letters

JF - Electronics Letters

SN - 0013-5194

IS - 6

ER -