Research on the SIFT Algorithm in Image Matching

Abstract:

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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.

Info:

Periodical:

Edited by:

Dongye Sun, Wen-Pei Sung and Ran Chen

Pages:

4656-4660

DOI:

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

Citation:

Y. Cong et al., "Research on the SIFT Algorithm in Image Matching", Applied Mechanics and Materials, Vols. 121-126, pp. 4656-4660, 2012

Online since:

October 2011

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Price:

$35.00

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