Research on the SIFT Algorithm in Image Matching

Yuan Cong; Xiao Rong Chen; Yi Ting Li

doi:10.4028/www.scientific.net/AMM.121-126.4656

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 121-126Research on the SIFT Algorithm in Image Matching

Research on the SIFT Algorithm in Image Matching

Abstract:

SIFT feature matching algorithm is hot in the field of the currently feature matching research, its matching with the strong ability can deal with the translation, rotation, affine transformation occurring between images , and it also have a stable image feature matching ability to the images filmed at any angle. SIFT algorithm is adopted in this paper, matching feature point through the scale space , calculating the histogram of detecting feature point neighborhood of gradient direction characteristic vector and generation to SIFT eigenvector and the key points similarity measure. From different setting threshold, scale scaling, rotating, noise on the experiment, the experiment result proves this algorithm in the above aspects has good robustness, suitable for mass characteristic database of rapid, accurate matching.

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Periodical:

Applied Mechanics and Materials (Volumes 121-126)

Pages:

4656-4660

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.121-126.4656

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Online since:

October 2011

Authors:

Yuan Cong, Xiao Rong Chen, Yi Ting Li

Keywords:

Feature Vector, Image Matching, Scale Space, SIFT Algorithm

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References

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