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 > High-Performance Intelligent Computing > Planning, Autonomy and Representation of Knowledge School of Computing and Engineering > High-Performance Intelligent Computing > Planning, Autonomy and Representation of Knowledge
Related URLs:	Conference Author Author
Depositing User:	Joanna Olszewska
Date Deposited:	26 Jul 2012 12:53
Last Modified:	28 Aug 2021 20:39
URI:	https://eprints.hud.ac.uk/id/eprint/14121

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