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.

Content

Author and article information

Contributors

Mark S. Nixon

Xin U. Liu

Cem Direkoğlu

David J. Hurley

Conference

Publication date: September 2008

Publication date (Print): September 2008

Pages: 163-177

Affiliations

[0001]School of Electronics and Computer Science, University of Southampton UK

Article

DOI: 10.14236/ewic/VOCS2008.15

SO-VID: 15e3aefd-57cc-43f6-a071-2ac4111d3fef

Copyright statement: © Mark S. Nixon et al. Published by BCS Learning and Development Ltd. Visions of Computer Science - BCS International Academic Conference

License:

This work is licensed under a Creative Commons Attribution 4.0 Unported License. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/

Conference name: Visions of Computer Science - BCS International Academic Conference

Conference acronym: VOCS

Conference number:

Conference location: Imperial College, London, UK

Conference date: 22 - 24 September 2008

Conference sponsor: Electronic Workshops in Computing (eWiC)

Conference theme: BCS International Academic Conference

Product

Product Information: 1477-9358BCS Learning & Development

Self URI (article page): https://www.scienceopen.com/hosted-document?doi=10.14236/ewic/VOCS2008.15

Self URI (journal page): https://ewic.bcs.org/

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

Abstract