Research and Improvement on Algorithm of Image Feature Point Matching

被引：0
|
作者：
Fu, Hongchuan [1 ]
Wang, Jian [2 ]
Wan, Chan [2 ]
Fu, Kai [1 ]
机构：
[1] Northeastern Univ, Sci & Technol Ind Grp, Shenyang 110004, Peoples R China
[2] Northeastern Univ, Coll Informat Sci & Engn, Shenyang 110004, Peoples R China
来源：
CCDC 2009: 21ST CHINESE CONTROL AND DECISION CONFERENCE, VOLS 1-6, PROCEEDINGS | 2009年
关键词：
Image feature point matching; Density degree; Threshold adjust;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
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%).
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页码：647 / +
页数：2
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