Image Feature Matching Based on SIFT Algorithm

Xin Zhang; Ya Sheng Zhang; Hong Yao

doi:10.4028/www.scientific.net/AMM.644-650.4157

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 644-650Image Feature Matching Based on SIFT Algorithm

Image Feature Matching Based on SIFT Algorithm

Abstract:

In the process of image matching, it is involved such as image rotation, scale zooming, brightness change and other problems. In order to improve the precision of image matching, image matching algorithm based on SIFT feature point is proposed. First, the method of generating scale space is introduced. Then, the scale and position of feature points are determined through three dimension quadratic function and feature vectors are determined through gradient distribution characteristic of neighborhood pixels of feature points. Finally, feature matching is completed based on the Euclidean distance. The experiment result indicates that using SIFT feature point can achieve image matching effectively.

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Periodical:

Applied Mechanics and Materials (Volumes 644-650)

Pages:

4157-4161

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.644-650.4157

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Online since:

September 2014

Authors:

Xin Zhang*, Ya Sheng Zhang, Hong Yao

Keywords:

Image Matching, Scale Invariance, SIFT

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* - Corresponding Author

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