An Image Matching Method Based on SIFT Feature

Zhao Ming Shi; Bo Ying Geng; Zhong Hong Wu; Yin Wen Dong

doi:10.4028/www.scientific.net/AMM.170-173.2855

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 170-173An Image Matching Method Based on SIFT Feature

An Image Matching Method Based on SIFT Feature

Abstract:

Aiming at problems about repeat matching and wrong matching appeared when traditional SIFT algorithm was used in image matching, an image matching method based on SIFT feature was put forward. Firstly, SIFT features were extracted by traditional SIFT algorithm and candidate matching point pairs were obtained by the nearest neighbor rule. Secondly, lateral matching method was used to remove repeat matched dot-pairs. Finally, Mahalanobis distance as a similarity measurement was used to remove wrong matched dot-pairs. Experiment shows this method can achieve image matching effectively with high accuracy.

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Periodical:

Applied Mechanics and Materials (Volumes 170-173)

Pages:

2855-2859

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.170-173.2855

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Online since:

May 2012

Authors:

Zhao Ming Shi, Bo Ying Geng, Zhong Hong Wu, Yin Wen Dong

Keywords:

Image Matching, Lateral Matching, Mahalanobis Distance, SIFT Feature

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