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Pattern Recognition, International Conference on (2000)
Barcelona, Spain
Sept. 3, 2000 to Sept. 8, 2000
ISBN: 0-7695-0750-6
pp: 2034
Marco Carcassoni , University of York
Edwin R. Hancock , University of York
ABSTRACT
This paper investigates the correspondence matching of point-sets using spectral graph analysis. In particular, we are interested in the problem of how the modal analysis of point-sets can be rendered robust to point movement. To this end, we consider alternatives to the Gaussian proximity matrix. We evaluate the new method on both synthetic and real-world data. Here we show that the method can be used to compute useful correspondences even when the level of point movement is large.
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CITATION

E. R. Hancock and M. Carcassoni, "An Improved Point Proximity Matrix for Modal Matching," Pattern Recognition, International Conference on(ICPR), Barcelona, Spain, 2000, pp. 2034.
doi:10.1109/ICPR.2000.906013
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