An Image Matching Algorithm Based on SIFT and Invariability of Feature Points Set

Xue Tong Wang; Yao Xu; Feng Gao; Jing Yi Bai

doi:10.4028/www.scientific.net/AMM.121-126.701

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 121-126An Image Matching Algorithm Based on SIFT and...

An Image Matching Algorithm Based on SIFT and Invariability of Feature Points Set

Abstract:

Feature points can be used to match images. Candidate feature points are extracted through SIFT firstly. Then feature points are selected from candidate points through singular value decomposing. Distance between feature points sets is computed According to theory of invariability of feature points set, images are matched if the distance is less than a threshold. Experiment showed that this algorithm is available.

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Periodical:

Applied Mechanics and Materials (Volumes 121-126)

Pages:

701-704

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.121-126.701

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Online since:

October 2011

Authors:

Xue Tong Wang, Yao Xu, Feng Gao, Jing Yi Bai

Keywords:

Image Matching, Invariability of Feature Points Set, SIFT, Singular Value Decomposition (SVD)

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References

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