Comparative Study of Local Image Feature Description

被引：0
|
作者：
Zhou, Lifen [1 ]
Tao, Yanlin [1 ]
机构：
[1] Qujing Normal Univ, Sch Informat Engn, Qujing 655011, Yunnan, Peoples R China
来源：
PROCEEDINGS OF THE 2016 INTERNATIONAL CONFERENCE ON SENSOR NETWORK AND COMPUTER ENGINEERING | 2016年 / 68卷
关键词：
Local feature; Feature detection; Feature description; SIFT;
D O I：
暂无
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
In view of the local image feature description algorithm of recent year, we compare them with SIFT, which is a classic algorithm. We found the gap of every kind of description algorithm with some image transformations, and this can be a reference when feature description algorithm used in some application of computer vision. Our results show that MROGH and MRRID has the best performance, and then is LIOP, DAISY and HRI-CSLTP are better than SIFT in some image transformation.
引用
收藏
页码：342 / 348
页数：7
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