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Dr. Shady Yehia AbdElazim Elmashed :: Publications:

Title:
Evaluating the Robustness of Feature Correspondence using Different Feature Extractors
Authors: Shady Y. El-Mashad and Amin Shoukry
Year: 2014
Keywords: Features Matching; Features Extraction; Topological Relations; Graph Matching; Performance Evaluation; Quadratic Assignment Problem.
Journal: International Conference on Methods and Models in Automation and Robotics (MMAR), 2014
Volume: 19
Issue: Not Available
Pages: 316-321
Publisher: IEEE
Local/International: International
Paper Link:
Full paper Shady Yehia AbdElazim Elmashed _Evaluating the Robustness of Feature Correspondence using Different Feature Extractors.pdf
Abstract:

The importance of choosing a suitable feature detector and descriptor to find the optimal correspondence between two sets of image features has been highlighted. In this direction, this paper presents an evaluation of some well known feature detectors and descriptors; including HARRISFREAK, HESSIAN-SURF, MSER-SURF, and FAST-FREAK; in the search for an optimal detector and descriptor pair that best serves the matching procedure between two images. The adopted matching algorithm pays attention not only to the similarity between features but also to the spatial layout in the neighborhood of every matched feature. The experiments conducted on 50 images; representing 10 objects from COIL-100 data-set with extra synthetic deformations; reveal that HARRIS-FREAK’s extractor results in better feature correspondence.

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