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 dis...

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Veröffentlicht in:IEEE transactions on image processing 2012-01, Vol.21 (1), p.297-304
Hauptverfasser: Ehsan, S., Kanwal, N., Clark, A. F., McDonald-Maier, K. D.
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container_title IEEE transactions on image processing
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creator Ehsan, S.
Kanwal, N.
Clark, A. F.
McDonald-Maier, K. D.
description 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.
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source IEEE Electronic Library (IEL)
subjects Accuracy
Algorithms
Applied sciences
Boats
Exact sciences and technology
Feature extraction
Hardware
image analysis
Image Enhancement - methods
Image Interpretation, Computer-Assisted - methods
Image matching
Image processing
Imaging, Three-Dimensional - methods
Information Storage and Retrieval - methods
Information, signal and communications theory
Materials
Pattern Recognition, Automated - methods
Real time systems
Reproducibility of Results
Sensitivity and Specificity
Signal processing
Speeded-Up Robust Features (SURF)
Telecommunications and information theory
title An Algorithm for the Contextual Adaption of SURF Octave Selection With Good Matching Performance: Best Octaves
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