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Proceedings Paper

Robust image matching based on rotation and scale invariant shape context
Author(s): Jianfang Dou; Jianxun Li
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Paper Abstract

In order to solve the problem of false matches generated from the similar region in image matching, In this paper, an algorithm for a robust image matching method based on the combination of the improved Shape context method and SIFT is proposed. First we extracted the key points and matching them using SIFT. Then we exploited the rotation and scale information from matched SIFT key points, K-means Clustering can estimate the ratio scale and rotation angle accurately and with which we achieve the rotation and scale invariant shape context. Finally The matches is obtained by Shape Context Matching. Experiment show that, the algorithm can improve the accuracy of matching.

Paper Details

Date Published: 15 November 2011
PDF: 8 pages
Proc. SPIE 8335, 2012 International Workshop on Image Processing and Optical Engineering, 83350U (15 November 2011); doi: 10.1117/12.917458
Show Author Affiliations
Jianfang Dou, Shanghai Jiao Tong Univ. (China)
Jianxun Li, Shanghai Jiao Tong Univ. (China)


Published in SPIE Proceedings Vol. 8335:
2012 International Workshop on Image Processing and Optical Engineering
Hai Guo; Qun Ding, Editor(s)

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