Measuring the coverage of interest point detectors

Authors:
Shoaib Ehsan;Nadia Kanwal;Adrian F. Clark;Klaus D. McDonald-Maier
Affiliations:
School of Computer Science & Electronic Engineering, University of Essex, Colchester, UK;School of Computer Science & Electronic Engineering, University of Essex, Colchester, UK;School of Computer Science & Electronic Engineering, University of Essex, Colchester, UK;School of Computer Science & Electronic Engineering, University of Essex, Colchester, UK
Venue:
ICIAR'11 Proceedings of the 8th international conference on Image analysis and recognition - Volume Part I
Year:
2011

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Abstract

Repeatability is widely used as an indicator of the performance of an image feature detector but, although useful, it does not convey all the information that is required to describe performance. This paper explores the spatial distribution of interest points as an alternative indicator of performance, presenting a metric that is shown to concur with visual assessments. This metric is then extended to provide a measure of complementarity for pairs of detectors. Several state-of-the-art detectors are assessed, both individually and in combination. It is found that Scale Invariant Feature Operator (SFOP) is dominant, both when used alone and in combination with other detectors.