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

8 years 3 months ago
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 ...
Mark S. Nixon, Cem Direkoglu, Xin U. Liu, David J.
Added 29 Oct 2010
Updated 29 Oct 2010
Type Conference
Year 2008
Where BCS
Authors Mark S. Nixon, Cem Direkoglu, Xin U. Liu, David J. Hurley
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