Optimization of Image Matching Algorithm with Scale Invariant Features Transform

被引：0
|
作者：
Guo, Li [1 ]
Yao, Yuqin [1 ]
机构：
[1] Chengdu Univ Informat Technol, Chengdu 610225, Peoples R China
来源：
PROCEEDINGS OF THE 2016 5TH INTERNATIONAL CONFERENCE ON ADVANCED MATERIALS AND COMPUTER SCIENCE | 2016年 / 80卷
关键词：
Image matching; DOG pyramid; SIFT feature matching algorithm; Scale space;
D O I：
暂无
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
Image exists in many key points, these points to the change of brightness the phenomenon such as scale; scale has the characteristics of stable constant. SIFT feature matching algorithm is based on the key points to complete the image matching. It has the very strong matching ability, as the image illumination change between, rotation, displacement, affine transformation and perspective transformation, and so on and so forth, can still complete accurate image matching.
引用
收藏
页码：136 / 140
页数：5
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