Similarity measure for corner redetection

Abstract

Corners are important image-features for tracking applications. We present a new method to calculate the similarity of corners, which is used to improve the redetection performance of corner-based tracking applications. It is a simple and fast method to calculate a scaled measure of similarity, which aggregates basic corner features like dihedral angle, cornerness, and corner orientation. Experimental results verify that the similarity measure is well suited for tracking applications. © Springer-Verlag 2003.