An Automatic Video Image Mosaic Algorithm Based on SIFT Feature Matching

被引：0
|
作者：
Song, Fuhua [1 ]
Lu, Bin [1 ]
机构：
[1] China Jiliang Univ, Hangzhou 310018, Peoples R China
来源：
PROCEEDINGS OF THE 2012 INTERNATIONAL CONFERENCE ON COMMUNICATION, ELECTRONICS AND AUTOMATION ENGINEERING | 2013年 / 181卷
关键词：
SIFT; feature matching; image fusion; image matching;
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：
An automatic video image matching algorithm based on SIFT feature points was presented in this paper. The optimized implementation of the best-bin-first(BBF) algorithm based on kd-Tree was used in coarse matching, random sample consensus(RANSAC)was used in accurate matching, the last use the global information are calculated to update the match precision. with pixel brightness weighting in HIS color space was proposed in blending images. The experimental results show that the method with strong robustness performs fast and effectively and has highly valuable in practice.
引用
收藏
页码：879 / 886
页数：8
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