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Improved repeatability measures for evaluating performance of feature detectors

Ehsan, Shoaib and Kanwal, Nadia and Clark, Adrian F and McDonald-Maier, Klaus D (2010) 'Improved repeatability measures for evaluating performance of feature detectors.' Electronics Letters, 46 (14). p. 998. ISSN 0013-5194

1504.07967v1.pdf - Accepted Version

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The most frequently employed measure for performance characterisation of local feature detectors is repeatability, but it has been observed that this does not necessarily mirror actual performance. Presented are improved repeatability formulations which correlate much better with the true performance of feature detectors. Comparative results for several state-of-the-art feature detectors are presented using these measures; it is found that Hessian-based detectors are generally superior at identifying features when images are subject to various geometric and photometric transformations.

Item Type: Article
Uncontrolled Keywords: cs.CV; cs.PF
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering
Divisions: Faculty of Science and Health
Faculty of Science and Health > Computer Science and Electronic Engineering, School of
SWORD Depositor: Elements
Depositing User: Elements
Date Deposited: 06 Mar 2012 12:35
Last Modified: 15 Jan 2022 00:22

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