FESID: Finite Element Scale Invariant Detector

D Kerr; SA Coleman; BW Scotney

doi:10.1007/978-3-642-04146-4_10

FESID: Finite Element Scale Invariant Detector

D Kerr, SA Coleman, BW Scotney

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

4 Citations (Scopus)

Abstract

Recently, finite element based methods have been used to develop gradient operators for edge detection that have improved angular accuracy over standard techniques. A more prominent issue in the field of image processing has become the use of interest point detectors and to this end we expand upon this research developing a finite element scale invariant interest point detector that is based on the same multi-scale approach used in the SURF detector. The operator differs in that the autocorrelation matrix is used to select the interest point location and the derivative and smoothing operations are combined into one operator developed through the use of the finite element framework.

Original language	English
Title of host publication	Unknown Host Publication
Pages	72-81
Number of pages	10
DOIs	https://doi.org/10.1007/978-3-642-04146-4_10
Publication status	Published (in print/issue) - Sept 2009
Event	15th International Conference on Image Analysis and Processing (ICIAP 2009) - Vietri sul Mare, Italy Duration: 1 Sept 2009 → …

Conference

Conference	15th International Conference on Image Analysis and Processing (ICIAP 2009)
Period	1/09/09 → …

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10.1007/978-3-642-04146-4_10

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title = "FESID: Finite Element Scale Invariant Detector",

abstract = "Recently, finite element based methods have been used to develop gradient operators for edge detection that have improved angular accuracy over standard techniques. A more prominent issue in the field of image processing has become the use of interest point detectors and to this end we expand upon this research developing a finite element scale invariant interest point detector that is based on the same multi-scale approach used in the SURF detector. The operator differs in that the autocorrelation matrix is used to select the interest point location and the derivative and smoothing operations are combined into one operator developed through the use of the finite element framework.",

author = "D Kerr and SA Coleman and BW Scotney",

year = "2009",

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doi = "10.1007/978-3-642-04146-4_10",

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note = "15th International Conference on Image Analysis and Processing (ICIAP 2009) ; Conference date: 01-09-2009",

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AU - Kerr, D

AU - Coleman, SA

AU - Scotney, BW

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AB - Recently, finite element based methods have been used to develop gradient operators for edge detection that have improved angular accuracy over standard techniques. A more prominent issue in the field of image processing has become the use of interest point detectors and to this end we expand upon this research developing a finite element scale invariant interest point detector that is based on the same multi-scale approach used in the SURF detector. The operator differs in that the autocorrelation matrix is used to select the interest point location and the derivative and smoothing operations are combined into one operator developed through the use of the finite element framework.

UR - http://dx.doi.org/10.1007/978-3-642-04146-4

U2 - 10.1007/978-3-642-04146-4_10

DO - 10.1007/978-3-642-04146-4_10

M3 - Conference contribution

SP - 72

EP - 81

BT - Unknown Host Publication

T2 - 15th International Conference on Image Analysis and Processing (ICIAP 2009)

Y2 - 1 September 2009

ER -

FESID: Finite Element Scale Invariant Detector

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