Indoor Navigation System Based on Image Matching Algorithm

被引：0
|
作者：
Zhao, Chen-yue [1 ]
He, Xin [1 ]
Liu, Dong-dong [1 ]
Chu, Jian-feng [1 ]
机构：
[1] Jilin Univ, 2699 Qianjin St, Changchun, Jilin, Peoples R China
来源：
2018 INTERNATIONAL CONFERENCE ON ELECTRICAL, CONTROL, AUTOMATION AND ROBOTICS (ECAR 2018) | 2018年 / 307卷
关键词：
SIFT; SURF; ORB; K-means;
D O I：
暂无
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
Many indoor navigation systemsaimed at high accuracy have been presented. In this paper we put forward a system based on improved ORB algorithm, which can be used in smart phones with low computation and high accuracy. We process an improved image matching algorithm based on ORB. We jointly use other image matching algorithms as well ORB. These changes makes ORB more suitable for Android system and made ORB algorithm more efficient. In order to validate and demonstrate the performance of the system, we carry out the related experiments. The performance of our methodcan be seen in the experiments.
引用
收藏
页码：374 / 379
页数：6
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