1) Feature Points Registration
特征点配准
2) Corner-feature-based registration
角点特征配准
4) point matching
特征点匹配
1.
On angular-point extracting method based on SUSAN and point matching method;
为了进一步验证所提取角点的实用性,利用特征点匹配对其进行了匹配验证。
5) feature matching
特征点匹配
1.
At the aspect of feature matching,a novel matching scheme based on hash mapping and bidirectional nearest neighbor distance ratio is presented,which can quickly and effectively obtain the relationship between the features.
该算法用鲁棒性强且计算性能优越的SURF算子取代传统的SIFT算子进行特征点提取;在特征点匹配方面,提出了一种基于哈希映射和双向最近邻距离比的匹配算法,可以快速有效地获得特征点间的对应关系。
6) Feature point matching
特征点匹配
1.
The Research on Image Stitching Based on Feature Point Matching;
基于特征点匹配的图像拼接方法研究
2.
This paper proposed a matching method of feature point based on bidirectional maximal correlation and parallactic restriction,which firstly improves the precision of feature point matching by utilizing the strategy of bidirectional matching,and then eliminates false matching point based on parallactic restriction.
提出一种基于双向最大相关与视差约束的特征点匹配方法,首先利用双向匹配策略来提高匹配精度,然后基于视差约束条件进一步剔除误匹配点,实验证明该算法不仅简单高效而且匹配精度高。
3.
The local motion vector of the block was determined by feature point matching.
通过特征点匹配,求其局部运动矢量;将其代入变换模型所得的线性方程组,求其全局运动矢量。
补充资料：几何配准
几何配准 geometric registration
将不同时间、不同波段、不同遥感器系统所获得的同一地区的图像(数据)，经几何变换使同名像点在位置上和方位上完全叠合的操作。
说明：补充资料仅用于学习参考，请勿用于其它任何用途。
参考词条