Research and improvement on algorithm of image feature point matching

Authors:
Hongchuan Fu;Jian Wang;Chan Wan;Kai Fu
Affiliations:
Science & Technology Industry Group, Northeastern University, Shenyang;College of Information Science and Engineering, Northeastern University, Shenyang;College of Information Science and Engineering, Northeastern University, Shenyang;Science & Technology Industry Group, Northeastern University, Shenyang
Venue:
CCDC'09 Proceedings of the 21st annual international conference on Chinese Control and Decision Conference
Year:
2009

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Abstract

The paper focuses on the improvement by giving consideration to density degree of featured points', after carefully scrutinizing on feature matching algorithm, along with the former way to examine the similarity degree of featured points'. We decrease the threshold of correlation degree of corners, to avoid the unsuccessful matching by the unsuitable threshold setting. It is through the experiment comparison in the latter chapter have we arrived to the conclusion that the algorithm is less time-consuming (decreased by 49.2%) and the nicety is improved greatly (increased by 20%).