Research on SIFT Image Matching Based on MLESAC Algorithm

被引：0
|
作者：
Deng, Lijin [1 ]
Piao, Yan [1 ]
Liu, Shuo [2 ]
机构：
[1] Changchun Univ Sci & Tech, Changchun, Jilin, Peoples R China
[2] CETC52, Hangzhou, Zhejiang, Peoples R China
来源：
2018 2ND INTERNATIONAL CONFERENCE ON DIGITAL SIGNAL PROCESSING (ICDSP 2018) | 2018年
关键词：
Image matching; SIFT algorithm; MLESAC algorithm; matching accuracy;
D O I：
10.1145/3193025.3193059
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
The difference of sensor devices and the camera position offset will lead the geometric differences of the matching images. The traditional SIFT image matching algorithm has a large number of incorrect matching point pairs and the matching accuracy is low during the process of image matching. In order to solve this problem, a SIFT image matching based on Maximum Likelihood Estimation Sample Consensus (MLESAC) algorithm is proposed. Compared with the traditional SIFT feature matching algorithm, SURF feature matching algorithm and RANSAC feature matching algorithm, the proposed algorithm can effectively remove the false matching feature point pairs during the image matching process. Experimental results show that the proposed algorithm has higher matching accuracy and faster matching efficiency.
引用
收藏
页码：17 / 21
页数：5
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