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Performance Assessment of Feature Detection Algorithms: A Methodology and Case Study on Corner Detectors

Rockett, Peter (2003) Performance Assessment of Feature Detection Algorithms: A Methodology and Case Study on Corner Detectors. IEEE TRANSACTIONS ON IMAGE PROCESSING, 12 (12). pp. 1668-1676. ISSN 1057-7149

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Abstract

In this paper we describe a generic methodology for evaluating the labeling performance of feature detectors. We describe a method for generating a test set and apply the methodology to the performance assessment of three well-known corner detectors: the Kitchen-Rosenfeld, Paler et al. and Harris-Stephens corner detectors. The labeling deficiencies of each of these detectors is related to their discrimination ability between corners and various of the features which comprise the class of noncorners.

Item Type: Article
Copyright, Publisher and Additional Information: Copyright © 2003 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
Keywords: corner detection, feature detection, performance evaluation, ROC curves
Institution: The University of Sheffield
Academic Units: The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Electronic and Electrical Engineering (Sheffield)
Depositing User: Peter Rockett
Date Deposited: 02 Dec 2005
Last Modified: 04 Jun 2014 18:37
Published Version: http://dx.doi.org/10.1109/TIP.2003.818041
Status: Published
Refereed: Yes
Identification Number: 10.1109/TIP.2003.818041
URI: http://eprints.whiterose.ac.uk/id/eprint/792

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