Finite Element Laplacian Feature Detector

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

Recently, interest point detectors and descriptors have become prominent in the field of computer vision and are typically used to determine correspondences between two images of the same scene. We present a design proce-dure for the Finite Element Laplacian Feature (FELF) Detector which is similar to the multi-scale approach used in the SURF detector and detects blob like features. We illustrate the accuracy of the FELF algorithm in comparison to well known existing techniques and high-light the computational efficiency of the proposed approach
LanguageEnglish
Title of host publicationUnknown Host Publication
Pages381-384
Number of pages4
Publication statusPublished - 13 Jun 2011
EventIAPR Conference on Machine Vision and Applications (MVA 2011) - Nara, Japan
Duration: 13 Jun 2011 → …

Conference

ConferenceIAPR Conference on Machine Vision and Applications (MVA 2011)
Period13/06/11 → …

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Detectors
Computational efficiency
Computer vision

Cite this

@inproceedings{330e06d4067f44a7894c809a43947749,
title = "Finite Element Laplacian Feature Detector",
abstract = "Recently, interest point detectors and descriptors have become prominent in the field of computer vision and are typically used to determine correspondences between two images of the same scene. We present a design proce-dure for the Finite Element Laplacian Feature (FELF) Detector which is similar to the multi-scale approach used in the SURF detector and detects blob like features. We illustrate the accuracy of the FELF algorithm in comparison to well known existing techniques and high-light the computational efficiency of the proposed approach",
author = "D Kerr and SA Coleman and BW Scotney",
year = "2011",
month = "6",
day = "13",
language = "English",
isbn = "978-4-901122-11-5",
pages = "381--384",
booktitle = "Unknown Host Publication",

}

Kerr, D, Coleman, SA & Scotney, BW 2011, Finite Element Laplacian Feature Detector. in Unknown Host Publication. pp. 381-384, IAPR Conference on Machine Vision and Applications (MVA 2011), 13/06/11.

Finite Element Laplacian Feature Detector. / Kerr, D; Coleman, SA; Scotney, BW.

Unknown Host Publication. 2011. p. 381-384.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

TY - GEN

T1 - Finite Element Laplacian Feature Detector

AU - Kerr, D

AU - Coleman, SA

AU - Scotney, BW

PY - 2011/6/13

Y1 - 2011/6/13

N2 - Recently, interest point detectors and descriptors have become prominent in the field of computer vision and are typically used to determine correspondences between two images of the same scene. We present a design proce-dure for the Finite Element Laplacian Feature (FELF) Detector which is similar to the multi-scale approach used in the SURF detector and detects blob like features. We illustrate the accuracy of the FELF algorithm in comparison to well known existing techniques and high-light the computational efficiency of the proposed approach

AB - Recently, interest point detectors and descriptors have become prominent in the field of computer vision and are typically used to determine correspondences between two images of the same scene. We present a design proce-dure for the Finite Element Laplacian Feature (FELF) Detector which is similar to the multi-scale approach used in the SURF detector and detects blob like features. We illustrate the accuracy of the FELF algorithm in comparison to well known existing techniques and high-light the computational efficiency of the proposed approach

M3 - Conference contribution

SN - 978-4-901122-11-5

SP - 381

EP - 384

BT - Unknown Host Publication

ER -

Kerr D, Coleman SA, Scotney BW. Finite Element Laplacian Feature Detector. In Unknown Host Publication. 2011. p. 381-384