Similarity measure for corner redetection

Authors:
Christoph Stock;Axel Pinz
Affiliations:
Institute of Electrical Measurement and Measurement Signal Processing, Graz University of Technology, Austria;Institute of Electrical Measurement and Measurement Signal Processing, Graz University of Technology, Austria
Venue:
SCIA'03 Proceedings of the 13th Scandinavian conference on Image analysis
Year:
2003

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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 fbr tracking applications.