Force Field Energy Functionals for Image Feature Extraction
Force Field Energy Functionals for Image Feature Extraction
The overall objective in defining feature space is to reduce the dimensionality of pattern space yet maintaining discriminatory power for classification and invariant description. To meet this objective, in the context of ear biometrics, a novel force field transformation has been developed in which the image is treated as an array of Gaussian attractors that act as the source of a force field. The directional properties of the force field are exploited to automatically locate the extrema of a small number of potential energy wells and associated potential channels. These form the basis of the ear description. This has been applied to a small database of ears and initial results show that the new approach has suitable performance attributes and shows promising results in automatic ear recognition.
biometrics, ear recognition, force field transform, potential energy transform, potential channel
311-317
Hurley, David J.
48c2987f-9096-4f86-93f2-148cb4daaaf2
Nixon, Mark S.
2b5b9804-5a81-462a-82e6-92ee5fa74e12
Carter, John N.
e05be2f9-991d-4476-bb50-ae91606389da
15 April 2002
Hurley, David J.
48c2987f-9096-4f86-93f2-148cb4daaaf2
Nixon, Mark S.
2b5b9804-5a81-462a-82e6-92ee5fa74e12
Carter, John N.
e05be2f9-991d-4476-bb50-ae91606389da
Hurley, David J., Nixon, Mark S. and Carter, John N.
(2002)
Force Field Energy Functionals for Image Feature Extraction.
Image and Vision Computing, 20 (5-6), .
(doi:10.1016/S0262-8856(02)00003-3).
Abstract
The overall objective in defining feature space is to reduce the dimensionality of pattern space yet maintaining discriminatory power for classification and invariant description. To meet this objective, in the context of ear biometrics, a novel force field transformation has been developed in which the image is treated as an array of Gaussian attractors that act as the source of a force field. The directional properties of the force field are exploited to automatically locate the extrema of a small number of potential energy wells and associated potential channels. These form the basis of the ear description. This has been applied to a small database of ears and initial results show that the new approach has suitable performance attributes and shows promising results in automatic ear recognition.
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Published date: 15 April 2002
Keywords:
biometrics, ear recognition, force field transform, potential energy transform, potential channel
Organisations:
Southampton Wireless Group
Identifiers
Local EPrints ID: 256595
URI: http://eprints.soton.ac.uk/id/eprint/256595
ISSN: 0262-8856
PURE UUID: ee815c52-e2c9-46a5-bc81-90efc9106e34
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Date deposited: 24 Jun 2005
Last modified: 15 Mar 2024 02:34
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Author:
David J. Hurley
Author:
John N. Carter
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