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An algorithm for the contextual adaption of SURF octave selection with good matching performance: best octaves.

Ehsan, Shoaib and Kanwal, Nadia and 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). 297 - 304. ISSN 1057-7149

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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.

Item Type: Article
Uncontrolled Keywords: Image Interpretation, Computer-Assisted, Imaging, Three-Dimensional, Image Enhancement, Sensitivity and Specificity, Reproducibility of Results, Algorithms, Information Storage and Retrieval, Pattern Recognition, Automated
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions: Faculty of Science and Health > Computer Science and Electronic Engineering, School of
Depositing User: Jim Jamieson
Date Deposited: 11 Feb 2013 16:58
Last Modified: 03 Jun 2020 12:50
URI: http://repository.essex.ac.uk/id/eprint/5492

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