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SIFT Saliency Analysis for Matching Repetitive Structures

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Indexed by:期刊论文

Date of Publication:2017-01-01

Journal:MATHEMATICAL PROBLEMS IN ENGINEERING

Included Journals:SCIE、EI

Volume:2017

ISSN No.:1024-123X

Abstract:The ambiguity resulting from repetitive structures in a scene presents a major challenge for image matching. This paper proposes a matching method based on SIFT feature saliency analysis to achieve robust feature matching between images with repetitive structures. The feature saliency within the reference image is estimated by analyzing feature stability and dissimilarity via Monte-Carlo simulation. In the proposedmethod, featurematching is performed only within the region of interest to reduce the ambiguity caused by repetitive structures. The experimental results demonstrate the efficiency and robustness of the proposed method, especially in the presence of respective structures.

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