An Algorithm for the Contextual Adaption of SURF Octave Selection With Good Matching Performance: Best Octaves
An Algorithm for the Contextual Adaption of SURF Octave Selection With Good Matching Performance: Best Octaves
Speeded-Up Robust Features is a feature extraction algorithm designed for real-time execution, although this is rarely achievable on low-power hardware such as that in mobile robots. One way to reduce the computation is to discard some of the scale-space octaves, and previous research has simply discarded the higher octaves. This paper shows that this approach is not always the most sensible and presents an algorithm for choosing which octaves to discard based on the properties of the imagery. Results obtained with this best octaves algorithm show that it is able to achieve a significant reduction in computation without compromising matching performance.
Feature extraction, image analysis, image matching, Speeded-Up Robust Features (SURF)
297-304
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
January 2012
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.
(2012)
An Algorithm for the Contextual Adaption of SURF Octave Selection With Good Matching Performance: Best Octaves.
IEEE Transactions on Image Processing, 21 (1), .
(doi:10.1109/TIP.2011.2160869).
Abstract
Speeded-Up Robust Features is a feature extraction algorithm designed for real-time execution, although this is rarely achievable on low-power hardware such as that in mobile robots. One way to reduce the computation is to discard some of the scale-space octaves, and previous research has simply discarded the higher octaves. This paper shows that this approach is not always the most sensible and presents an algorithm for choosing which octaves to discard based on the properties of the imagery. Results obtained with this best octaves algorithm show that it is able to achieve a significant reduction in computation without compromising matching performance.
This record has no associated files available for download.
More information
Published date: January 2012
Keywords:
Feature extraction, image analysis, image matching, Speeded-Up Robust Features (SURF)
Identifiers
Local EPrints ID: 478879
URI: http://eprints.soton.ac.uk/id/eprint/478879
ISSN: 1057-7149
PURE UUID: d2ef2b00-2ba3-4217-9f07-1afc28d89dfe
Catalogue record
Date deposited: 12 Jul 2023 16:36
Last modified: 17 Mar 2024 04:16
Export record
Altmetrics
Contributors
Author:
Shoaib Ehsan
Author:
Nadia Kanwal
Author:
Adrian F. Clark
Author:
Klaus D. McDonald-Maier
Download statistics
Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.
View more statistics