A New Algorithm of Image Matching Combining Sift and Shape Context

Abstract:

This paper presents a new algorithm of image matching via combining sift and shape context for improving image matching accuracy. A joint descriptor is applied to describe feature points. The initial matching is obtained by a proposed distance formula. Furthermore, PLS is introduced to eliminate mismatched points. Experimental results demonstrate the proposed algorithm can achieve better performance compared to conventional methods.

• Periodical: Applied Mechanics and Materials (Volumes 644-650)
• Pages: 4307-4313
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.644-650.4307
• Online since: September 2014
• Authors: Yan Lu Xu*, Yan Ma, Shun Bao Li, Ning Li Zhang, Xiang Fen Zhang, Yu Ping Zhang
• Keywords: Descriptor, Image Matching, Mismatching, PLS, RANSAC, Shape Context, SIFT

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