Fast Image Matching Based-on Improved SURF Algorithm

被引：0
|
作者：
Zhang Huijuan [1 ]
Hu Qiong [1 ]
机构：
[1] Tongji Univ, Sch Software Engn, Shanghai 200092, Peoples R China
来源：
2011 INTERNATIONAL CONFERENCE ON ELECTRONICS, COMMUNICATIONS AND CONTROL (ICECC) | 2011年
关键词：
image matching; SURF; FAST; corner detector;
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：
In this paper, to solve the problems that matching an image through the SURF (Speeded Up Robust Features) algorithm spends too much time, a novel image matching algorithm to improve surf will be introduced. While surf is known to be strong but computationally still expensive, it has not attained real-time performance yet. Thus this algorithm is based on the heavily modified SURF feature descriptors to attain the faster speed. We modify the Fast-Hessian Detector of SURF for the FAST (Features from Accelerated Segment Test) corner detector to match an image. This improved surf in this paper to match an image can fulfill the real-time requirement and get a considerable accurate result on computers.
引用
收藏
页码：1460 / 1463
页数：4
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