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On Using Physical Analogies for Feature and Shape Extraction in Computer Vision

On Using Physical Analogies for Feature and Shape Extraction in Computer Vision
On Using Physical Analogies for Feature and Shape Extraction in Computer Vision
There is a rich literature of approaches to image feature extraction in computer vision. Many sophisticated approaches exist for low- and high-level feature extraction but can be complex to implement with parameter choice guided by experimentation, but impeded by speed of computation. We have developed new ways to extract features based on notional use of physical paradigms, with parameterisation that is more familiar to a scientifically-trained user, aiming to make best use of computational resource. We describe how analogies based on gravitational force can be used for low-level analysis, whilst analogies of water flow and heat can be deployed to achieve high-level smooth shape detection. These new approaches to arbitrary shape extraction are compared with standard state-of-art approaches by curve evolution. There is no comparator operator to our use of gravitational force. We also aim to show that the implementation is consistent with the original motivations for these techniques and so contend that the exploration of physical paradigms offers a promising new avenue for new approaches to feature extraction in computer vision.
Feature extraction, Shape detection, Image processing, Computer vision, Force field, Water flow, Heat
Nixon, Mark
2b5b9804-5a81-462a-82e6-92ee5fa74e12
Liu, Xin
82424b16-94ac-4de7-972f-b384d98cba3f
Direkoglu, Cem
b793e59b-4188-44b2-99c5-b4dedc46cfda
Hurley, David
d0abd3e5-ffac-4160-bb00-042083251d79
Nixon, Mark
2b5b9804-5a81-462a-82e6-92ee5fa74e12
Liu, Xin
82424b16-94ac-4de7-972f-b384d98cba3f
Direkoglu, Cem
b793e59b-4188-44b2-99c5-b4dedc46cfda
Hurley, David
d0abd3e5-ffac-4160-bb00-042083251d79

Nixon, Mark, Liu, Xin, Direkoglu, Cem and Hurley, David (2008) On Using Physical Analogies for Feature and Shape Extraction in Computer Vision. 1st Conf Visions of Computer Science, United Kingdom.

Record type: Conference or Workshop Item (Other)

Abstract

There is a rich literature of approaches to image feature extraction in computer vision. Many sophisticated approaches exist for low- and high-level feature extraction but can be complex to implement with parameter choice guided by experimentation, but impeded by speed of computation. We have developed new ways to extract features based on notional use of physical paradigms, with parameterisation that is more familiar to a scientifically-trained user, aiming to make best use of computational resource. We describe how analogies based on gravitational force can be used for low-level analysis, whilst analogies of water flow and heat can be deployed to achieve high-level smooth shape detection. These new approaches to arbitrary shape extraction are compared with standard state-of-art approaches by curve evolution. There is no comparator operator to our use of gravitational force. We also aim to show that the implementation is consistent with the original motivations for these techniques and so contend that the exploration of physical paradigms offers a promising new avenue for new approaches to feature extraction in computer vision.

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More information

Published date: September 2008
Additional Information: Event Dates: Sep 2008
Venue - Dates: 1st Conf Visions of Computer Science, United Kingdom, 2008-09-01
Keywords: Feature extraction, Shape detection, Image processing, Computer vision, Force field, Water flow, Heat
Organisations: Southampton Wireless Group

Identifiers

Local EPrints ID: 266708
URI: http://eprints.soton.ac.uk/id/eprint/266708
PURE UUID: 2a2dc26d-82a7-4bd1-8117-1ed48c12ee7b
ORCID for Mark Nixon: ORCID iD orcid.org/0000-0002-9174-5934

Catalogue record

Date deposited: 24 Sep 2008 15:13
Last modified: 06 Jun 2018 13:18

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Contributors

Author: Mark Nixon ORCID iD
Author: Xin Liu
Author: Cem Direkoglu
Author: David Hurley

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