A Novel Image Registration Approach With SIFT Algorithm and Tangent-Cross-Point Feature

被引：0
|
作者：
Song, Zhili [1 ]
机构：
[1] Shanghai Inst Technol, Sch Comp Sci & Informat Engn, Shanghai 201418, Peoples R China
来源：
PROGRESS IN INDUSTRIAL AND CIVIL ENGINEERING, PTS. 1-5 | 2012年 / 204-208卷
关键词：
Image registration; remote sensing; SIFT; tangent-cross point feature;
D O I：
10.4028/www.scientific.net/AMM.204-208.4936
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
By the aid of Tangent-Cross-Point feature, a novel improved SIFT algorithm is proposed in this paper. This method is more efficient and reliable in some cases, since it adopts Tangent-Cross-Point feature to improve the efficiency and robustness of SIFT algorithm. With a pair of matching feature points and a pair of curves nearby, it's very easy to estimate the values of local transformation parameters and validate the correctness of this matching by the aid of Tangent-Cross-Point feature.
引用
收藏
页码：4936 / 4940
页数：5
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