Efficient Laplacian Feature Map Pyramids in a Hexagonal Framework

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

1 Citation (Scopus)

Abstract

A systematic design procedure is used to develop Laplacian operators that facilitate the computation of hexagonal feature map pyramids. Our focus is the development of algorithms that can operate on hexagonal images over a range of scales. We show how scalable operators can be explicitly constructed using a Gaussian neighbourhood function. We extend this approach to achieve an efficient approximation via a feature map pyramid that implicitly embodies operator scaling. In both cases we provide performance evaluation with respect to edge localisation.
LanguageEnglish
Title of host publicationUnknown Host Publication
Pages1466-1469
Number of pages4
Publication statusPublished - 16 Mar 2010
EventIEEE International Conference on Acoustics, Speech and Signal Processing 2010 - Dallas, Texas
Duration: 16 Mar 2010 → …

Conference

ConferenceIEEE International Conference on Acoustics, Speech and Signal Processing 2010
Period16/03/10 → …

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Mathematical operators

Cite this

@inproceedings{11acbfcb54fc440299dc7cc2a3766a00,
title = "Efficient Laplacian Feature Map Pyramids in a Hexagonal Framework",
abstract = "A systematic design procedure is used to develop Laplacian operators that facilitate the computation of hexagonal feature map pyramids. Our focus is the development of algorithms that can operate on hexagonal images over a range of scales. We show how scalable operators can be explicitly constructed using a Gaussian neighbourhood function. We extend this approach to achieve an efficient approximation via a feature map pyramid that implicitly embodies operator scaling. In both cases we provide performance evaluation with respect to edge localisation.",
author = "SA Coleman and BW Scotney and B Gardiner",
year = "2010",
month = "3",
day = "16",
language = "English",
isbn = "978-1-4244-4296-6",
pages = "1466--1469",
booktitle = "Unknown Host Publication",

}

Coleman, SA, Scotney, BW & Gardiner, B 2010, Efficient Laplacian Feature Map Pyramids in a Hexagonal Framework. in Unknown Host Publication. pp. 1466-1469, IEEE International Conference on Acoustics, Speech and Signal Processing 2010, 16/03/10.

Efficient Laplacian Feature Map Pyramids in a Hexagonal Framework. / Coleman, SA; Scotney, BW; Gardiner, B.

Unknown Host Publication. 2010. p. 1466-1469.

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

TY - GEN

T1 - Efficient Laplacian Feature Map Pyramids in a Hexagonal Framework

AU - Coleman, SA

AU - Scotney, BW

AU - Gardiner, B

PY - 2010/3/16

Y1 - 2010/3/16

N2 - A systematic design procedure is used to develop Laplacian operators that facilitate the computation of hexagonal feature map pyramids. Our focus is the development of algorithms that can operate on hexagonal images over a range of scales. We show how scalable operators can be explicitly constructed using a Gaussian neighbourhood function. We extend this approach to achieve an efficient approximation via a feature map pyramid that implicitly embodies operator scaling. In both cases we provide performance evaluation with respect to edge localisation.

AB - A systematic design procedure is used to develop Laplacian operators that facilitate the computation of hexagonal feature map pyramids. Our focus is the development of algorithms that can operate on hexagonal images over a range of scales. We show how scalable operators can be explicitly constructed using a Gaussian neighbourhood function. We extend this approach to achieve an efficient approximation via a feature map pyramid that implicitly embodies operator scaling. In both cases we provide performance evaluation with respect to edge localisation.

M3 - Conference contribution

SN - 978-1-4244-4296-6

SP - 1466

EP - 1469

BT - Unknown Host Publication

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