An Improved Image Registration Method Based on SIFT

被引：0
|
作者：
Yang Kun [1 ,2 ]
Zhang Mingxin [1 ,2 ]
Xian Xiaobing [2 ]
Zheng JinLong [2 ]
机构：
[1] China Univ Min & Technol, Sch Comp Sci & Technol, Xuzhou 221008, Jiangsu, Peoples R China
[2] ChangShu Inst Technol, Dept Comp Sci & Engn, Changshu 215500, Jiangsu, Peoples R China
来源：
INDUSTRIAL ENGINEERING, MACHINE DESIGN AND AUTOMATION (IEMDA 2014) & COMPUTER SCIENCE AND APPLICATION (CCSA 2014) | 2015年
关键词：
SIFT; FAST; Geometric Constraint;
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：
SIFT has the defects of extracting unstable keypoints in complex texture images, this paper proposes an improved SIFT algorithm which based on FAST algorithm and geometric constraints. On the basis of extracting keypoints by SIFT, the improved algorithm adopts FAST to select stable feature points. Furthermore, geometric constraints of orientation difference, scales difference and orientation of matching connection line are used to reduce incorrect matching rates. The experimental result shows that the keypoints extracting by modified SIFT are extremely stable and the average matching time reduces by 10% and incorrect matches rates reduces by 5%.
引用
收藏
页码：317 / 323
页数：7
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