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Smooth Simultaneous Structural Graph Matching and Point-Set Registration

Authors: Sanromà Güell, Gerard; Alquézar Mancho, René; Serratosa Casanelles, Francesc;

Smooth Simultaneous Structural Graph Matching and Point-Set Registration

Abstract

We present a graph matching method that encompasses both a model of structural consistency and a model of geometrical deformations. Our method poses the graph matching problem as one of mixture modelling which is solved using the EM algorithm. The solution is then approximated as a succession of assignment problems which are solved, in a smooth way, using Softassign. Our method allows us to detect outliers in both graphs involved in the matching. Unlike the outlier rejectors such as RANSAC and Graph Transformation Matching, our method is able to refine an initial the tentative correspondence-set in a more flexible way than simply removing spurious correspondences. In the experiments, our method shows a good ratio between effectiveness and computational time compared with other methods inside and outside the graphs' field. © 2011 Springer-Verlag Berlin Heidelberg.

This research is supported by Consolider Ingenio 2010 (CSD2007-00018), by the CICYT (DPI 2010-17112) and by project DPI-2010-18449.

Trabajo presentado al 8th IAPR-TC-15 International Workshop (GbRPR) celebrado en Münster(Alemania) del 18 al 20 de mayo de 2011.

Peer Reviewed

Country
Spain
Keywords

Image matching, Affine registration, Expectation maximization, Visió per ordinador, :Enginyeria de la telecomunicació::Processament del senyal::Reconeixement de formes [Àrees temàtiques de la UPC], Pattern recognition systems, Softassign, Àrees temàtiques de la UPC::Enginyeria de la telecomunicació::Processament del senyal::Reconeixement de formes, Computer vision, Reconeixement de formes (Informàtica), Graph matching, Correspondence problem, Pattern matching

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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