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Hausdorff-Distance Enhanced Matching of Scale Invariant Feature Transform Descriptors in Context of Image Querying

Olszewska, Joanna Isabelle and Wilson, D. (2012) Hausdorff-Distance Enhanced Matching of Scale Invariant Feature Transform Descriptors in Context of Image Querying. In: Proceedings of the IEEE 16th International Conference on Intelligent Engineering Systems. IEEE, Lisbon, Portugal, pp. 91-96. ISBN 978-1-4673-2694-0

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    Abstract

    Reliable and effective matching of visual descriptors is a key step for many vision applications, e.g. image retrieval. In this paper, we propose to integrate the Hausdorff distance matching together with our pairing algorithm, in order to obtain a robust while computationally efficient process of matching feature descriptors for image-to-image querying in standards datasets. For this purpose, Scale Invariant Feature Transform (SIFT) descriptors have been matched using our presented algorithm, followed by the computation of our related similarity measure. This approach has shown excellent performance in both retrieval accuracy and speed.

    Item Type: Book Chapter
    Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
    Q Science > QA Mathematics > QA76 Computer software
    Schools: School of Computing and Engineering
    School of Computing and Engineering > Informatics Research Group > Knowledge Engineering and Intelligent Interfaces
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    Depositing User: Joanna Olszewska
    Date Deposited: 26 Jul 2012 13:53
    Last Modified: 18 Sep 2012 10:07
    URI: http://eprints.hud.ac.uk/id/eprint/14121

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