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Object recognition by symmetrised graph matching using relaxation labelling with an inhibitory mechanism

Kostin, A, Kittler, J and Christmas, WJ (2005) Object recognition by symmetrised graph matching using relaxation labelling with an inhibitory mechanism Pattern Recognition Letters, 26, 3. pp. 381-393.

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Abstract

Object recognition using graph-matching techniques can be viewed as a two-stage process: extracting suitable object primitives from an image and corresponding models, and matching graphs constructed from these two sets of object primitives. In this paper we concentrate mainly on the latter issue of graph matching, for which we derive a technique based on probabilistic relaxation graph labelling. The new method was evaluated on two standard data sets, SOIL47 and COIL100, in both of which objects must be recognised from a variety of different views. The results indicated that our method is comparable with the best of other current object recognition techniques. The potential of the method was also demonstrated on challenging examples of object recognition in cluttered scenes.

Item Type: Article
Authors :
NameEmailORCID
Kostin, AUNSPECIFIEDUNSPECIFIED
Kittler, Jj.kittler@surrey.ac.ukUNSPECIFIED
Christmas, WJw.christmas@surrey.ac.ukUNSPECIFIED
Date : February 2005
Depositing User : Symplectic Elements
Date Deposited : 17 May 2017 12:58
Last Modified : 17 May 2017 15:07
URI: http://epubs.surrey.ac.uk/id/eprint/837439

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