Similarity Measure for Corner Redetection View Full Text


Ontology type: schema:Chapter      Open Access: True


Chapter Info

DATE

2003-06-24

AUTHORS

Christoph Stock , Axel Pinz

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. More... »

PAGES

133-139

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/3-540-45103-x_19

DOI

http://dx.doi.org/10.1007/3-540-45103-x_19

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1019586950


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