Research and Improvement on Algorithm of Image Feature Point Matching
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％).
Image feature point matching Density degree Threshold adjust
Hongchuan Fu JianWang ChanWan Kai Fu
Science & Technology Industry Group, Northeastern University, Shenyang, 110004 College of Information Science and Engineering, Northeastern University, Shenyang, 110004
国际会议
2009年中国控制与决策会议(2009 Chinese Control and Decision Conference)
广西桂林
英文
647-652
2009-06-17（万方平台首次上网日期，不代表论文的发表时间）