Paper Title:
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.

  Info
Periodical
Chapter
Chapter 8: System Modeling and Simulation
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, X. R. Chen, Y. T. Li, "Research on the SIFT Algorithm in Image Matching", Applied Mechanics and Materials, Vols. 121-126, pp. 4656-4660, 2012
Online since
October 2011
Export
Price
$32.00
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