A statistical approach for comparing the performances of corner detectors
A statistical approach for comparing the performances of corner detectors
Corner detectors are widely used in computer vision. This paper assesses several state-of-the-art corner detectors in terms of overall performance and the internal angles of corners using simple geometric shapes. This assessment is carried out using a statistically-valid null hypothesis approach, not previously used in computer vision. It is found that there are statistically significant differences in performance. Moreover, the null hypothesis approach is easy to use in comparing vision techniques.
321-326
Kanwal, Nadia
636e56ff-8bec-4857-815d-1d458ee81d69
Ehsan, Shoaib
ae8922f0-dbe0-4b22-8474-98e84d852de7
Bostanci, Erkan
ae986329-9faa-4cc4-bb84-dbdc1f694cf8
Clark, Adrian F.
81c08359-a1fe-4380-adc0-2da681e19df0
2011
Kanwal, Nadia
636e56ff-8bec-4857-815d-1d458ee81d69
Ehsan, Shoaib
ae8922f0-dbe0-4b22-8474-98e84d852de7
Bostanci, Erkan
ae986329-9faa-4cc4-bb84-dbdc1f694cf8
Clark, Adrian F.
81c08359-a1fe-4380-adc0-2da681e19df0
Kanwal, Nadia, Ehsan, Shoaib, Bostanci, Erkan and Clark, Adrian F.
(2011)
A statistical approach for comparing the performances of corner detectors.
In Proceedings of 2011 IEEE Pacific Rim Conference on Communications, Computers and Signal Processing.
IEEE.
.
(doi:10.1109/PACRIM.2011.6032913).
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Conference or Workshop Item
(Paper)
Abstract
Corner detectors are widely used in computer vision. This paper assesses several state-of-the-art corner detectors in terms of overall performance and the internal angles of corners using simple geometric shapes. This assessment is carried out using a statistically-valid null hypothesis approach, not previously used in computer vision. It is found that there are statistically significant differences in performance. Moreover, the null hypothesis approach is easy to use in comparing vision techniques.
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Published date: 2011
Venue - Dates:
IEEE Pacific Rim Conference on Communications, Computers and Signal Processing, , Victoria, Canada, 2011-08-23 - 2011-08-26
Identifiers
Local EPrints ID: 478887
URI: http://eprints.soton.ac.uk/id/eprint/478887
PURE UUID: bf3905c5-9b05-4632-9078-ab5277141107
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Date deposited: 12 Jul 2023 16:38
Last modified: 17 Mar 2024 04:16
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Contributors
Author:
Nadia Kanwal
Author:
Shoaib Ehsan
Author:
Erkan Bostanci
Author:
Adrian F. Clark
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