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


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

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Description/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.

Item Type: Conference or Workshop Item (Speech)
Additional Information: Event Dates: Sep 2008
Keywords: Feature extraction, Shape detection, Image processing, Computer vision, Force field, Water flow, Heat
Divisions: Faculty of Physical Sciences and Engineering > Electronics and Computer Science > Comms, Signal Processing & Control
ePrint ID: 266708
Date Deposited: 24 Sep 2008 15:13
Last Modified: 27 Mar 2014 20:12
Further Information:Google Scholar
URI: http://eprints.soton.ac.uk/id/eprint/266708

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