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Analysis of interest point distribution in SURF octaves

Ehsan, Shoaib and Kanwal, Nadia and Bostanci, Erkan and Clark, Adrian and McDonald-Maier, Klaus (2010) Analysis of interest point distribution in SURF octaves. In: 3rd International Conference on Machine Vision (ICMV 2010), 2010-12-28 - 2010-12-30, Hong Kong. (Unpublished)

Analysis_of_Interest_Point_Distribution_in_SURF_Oc.pdf - Accepted Version

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Speeded-Up Robust Features (SURF) is a state-ofthe- art, scale- and rotation-invariant feature extraction technique with the potential for real-time execution. Although SURF has been extensively employed for multi-scale computer vision applications since its inception, there are still some areas of this computationally complex algorithm that have not been fully explored and require detailed analysis to enable algorithm-level optimization of SURF for real-time execution. In particular, the distribution of interest points in SURF octaves is a topic that requires thorough investigation. Contrary to the present perception, this paper demonstrates that there is a possibility of higher octaves being more significant than the lower octaves in terms of detected interest points for real-life images. The paper also shows that variation of blob response threshold has a significant effect on interest point distribution. The results presented highlight the need of developing a systematic approach to SURF octave selection.

Item Type: Conference or Workshop Item (Paper)
Additional Information: Published proceedings: _not provided_
Uncontrolled Keywords: Image analysis, feature extraction, SURF, interest point distribution
Divisions: Faculty of Science and Health > Computer Science and Electronic Engineering, School of
Depositing User: Elements
Date Deposited: 19 Jun 2020 08:20
Last Modified: 19 Jun 2020 08:20

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