Pattern Recognition, International Conference on (2000)
Sept. 3, 2000 to Sept. 8, 2000
Marco Carcassoni , University of York
Edwin R. Hancock , University of York
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.
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.