Finite Element Laplacian Feature Detector

D Kerr; SA Coleman; BW Scotney

Finite Element Laplacian Feature Detector

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

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

Original language	English
Title of host publication	Unknown Host Publication
Publisher	International Association of Pattern Recognition
Pages	381-384
Number of pages	4
ISBN (Print)	978-4-901122-11-5
Publication status	Published (in print/issue) - 13 Jun 2011
Event	IAPR Conference on Machine Vision and Applications (MVA 2011) - Nara, Japan Duration: 13 Jun 2011 → …

Conference

Conference	IAPR Conference on Machine Vision and Applications (MVA 2011)
Period	13/06/11 → …

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 = jun,

day = "13",

language = "English",

isbn = "978-4-901122-11-5",

pages = "381--384",

booktitle = "Unknown Host Publication",

publisher = "International Association of Pattern Recognition",

note = "IAPR Conference on Machine Vision and Applications (MVA 2011) ; Conference date: 13-06-2011",

}

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

PB - International Association of Pattern Recognition

T2 - IAPR Conference on Machine Vision and Applications (MVA 2011)

Y2 - 13 June 2011

ER -

Finite Element Laplacian Feature Detector

Abstract

Conference

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