Title :
An improved point proximity matrix for modal matching
Author :
Carcassoni, Marco ; Hancock, Edwin R.
Author_Institution :
Dept. of Comput. Sci., York Univ., UK
Abstract :
This paper investigates the correspondence matching of point-sets using spectral graph analysis. In particular we deal with 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
Keywords :
eigenvalues and eigenfunctions; graph theory; matrix algebra; pattern matching; spectral analysis; Gaussian proximity matrix; eigenvalues; eigenvectors; modal matching; point movement; point proximity matrix; spectral graph analysis; Application software; Chemistry; Computer science; Computer vision; Eigenvalues and eigenfunctions; Graph theory; Image segmentation; Modal analysis; Noise robustness; Spectral analysis;
Conference_Titel :
Pattern Recognition, 2000. Proceedings. 15th International Conference on
Conference_Location :
Barcelona
Print_ISBN :
0-7695-0750-6
DOI :
10.1109/ICPR.2000.906013