An Algorithm for Fast Corner Points Extraction with Reducing Mistaken Matching Based on Harris Operator

被引：0
|
作者：
Chen, Xiaoyuan [1 ]
Zhu, Yong [2 ]
Xiao, Bo [2 ]
Dai, Yuqiang [1 ]
Duan, Jin [2 ]
机构：
[1] Changchun Univ Sci & Technol, Sch Elect & Informat Engn, Changchun 130022, Jilin, Peoples R China
[2] Changchun Univ Sci & Technol, Sch Comp Sci & Technol, Changchun 130022, Jilin, Peoples R China
来源：
PROCEEDINGS OF THE 2017 5TH INTERNATIONAL CONFERENCE ON MECHATRONICS, MATERIALS, CHEMISTRY AND COMPUTER ENGINEERING (ICMMCCE 2017) | 2017年 / 141卷
关键词：
Harris operator; corner detection; NCC algorithm; Ransac algorithm;
D O I：
暂无
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
The paper proposes a new methods which used in image matching Harris corner extraction and corner matching. On the basis of the original Harris algorithm, the efficiency of extracting corners is improved by reducing the number of computing the corner response value. Then the NCC algorithm is used to match the extracted corners, and the matching accuracy is improved by choosing the threshold (auto correlation coefficient). The experimental results show that the proposed algorithm reduces the time of corner extraction, and is superior to the traditional Harris corner extraction method. Moreover, when matching the two images with NCC matching algorithm, the mismatching is reduced. Finally, the Ransac algorithm is used to remove the false matches.
引用
收藏
页码：542 / 547
页数：6
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