Paper Title:
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.

  Info
Periodical
Chapter
Chapter 2: Advanced Design Science (1)
Edited by
Dongye Sun, Wen-Pei Sung and Ran Chen
Pages
701-704
DOI
10.4028/www.scientific.net/AMM.121-126.701
Citation
X. T. Wang, Y. Xu, F. Gao, J. Y. Bai, "An Image Matching Algorithm Based on SIFT and Invariability of Feature Points Set", Applied Mechanics and Materials, Vols. 121-126, pp. 701-704, 2012
Online since
October 2011
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Price
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