Measuring the Coverage of Interest Point Detectors
Measuring the Coverage of Interest Point Detectors
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.
Feature extraction, coverage, performance measure
253-261
Ehsan, Shoaib
ae8922f0-dbe0-4b22-8474-98e84d852de7
Kanwal, Nadia
636e56ff-8bec-4857-815d-1d458ee81d69
Clark, Adrian F.
81c08359-a1fe-4380-adc0-2da681e19df0
McDonald-Maier, Klaus D.
d35c2e77-744a-4318-9d9d-726459e64db9
2011
Ehsan, Shoaib
ae8922f0-dbe0-4b22-8474-98e84d852de7
Kanwal, Nadia
636e56ff-8bec-4857-815d-1d458ee81d69
Clark, Adrian F.
81c08359-a1fe-4380-adc0-2da681e19df0
McDonald-Maier, Klaus D.
d35c2e77-744a-4318-9d9d-726459e64db9
Ehsan, Shoaib, Kanwal, Nadia, Clark, Adrian F. and McDonald-Maier, Klaus D.
(2011)
Measuring the Coverage of Interest Point Detectors.
In,
Kamel, M and Campilho, A
(eds.)
Image Analysis and Recognition: ICIAR 2011.
(Lecture Notes in Computer Science, 6753)
Springer, .
(doi:10.1007/978-3-642-21593-3_26).
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Book Section
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.
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More information
Published date: 2011
Keywords:
Feature extraction, coverage, performance measure
Identifiers
Local EPrints ID: 478886
URI: http://eprints.soton.ac.uk/id/eprint/478886
PURE UUID: 72947b72-5af5-4332-80f1-9a3e3b86c5a0
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Date deposited: 12 Jul 2023 16:38
Last modified: 17 Mar 2024 04:16
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Contributors
Author:
Shoaib Ehsan
Author:
Nadia Kanwal
Author:
Adrian F. Clark
Author:
Klaus D. McDonald-Maier
Editor:
M Kamel
Editor:
A Campilho
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