Alignment using Spectral Clusters

This paper describes a hierarchical spectral method for the correspondence matching of point-sets. Conventional spectral methods for correspondence matching are notoriously susceptible to differences in the relational structure of the point-sets under consideration. In this paper we demonstrate how the method can be rendered robust to structural differences by adopting a hierarchical approach. We show how the point-clusters associated with the most significant spectral modes can be used to locate correspondences when significant contamination is present.

• Type: Conference
• Year: 2002
• Where: BMVC
• Authors: Marco Carcassoni, Edwin R. Hancock
• Keywords: BMVC 2002, Computer Vision, Correspondence Matching, Hierarchical Spectral Method, Spectral Methods