基于多尺度FAST-9的图像快速匹配算法  

Fast Image Matching Algorithm Based on Multi-scale FAST-9

作　　者：郭莉莎 李俊山[1] 朱英宏 马颖 

机构地区：[1]第二炮兵工程大学信息工程系,西安710025 [2]武警福建总队厦门支队,福建厦门361000

出　　处：《计算机工程》2012年第12期208-210,217,共4页Computer Engineering

基　　金：国家自然科学基金资助项目(60772151;61075025)

摘　　要：FAST-9检测子不具备尺度不变性,为此,提出一种基于多尺度FAST-9的图像快速匹配算法。对图像建立高斯尺度空间,在各图层上应用FAST-9检测子分别提取特征点,在其周围建立圆形区域并分配主方向,同时建立方形区域构造SURF描述子,利用基于最近邻匹配方法进行匹配。实验结果表明,与SURF、SIFT算法相比,该算法具有较高的匹配速度。FAST-9 detector can not be invariant to scale changes.Aiming at this problem,this paper proposes a fast image matching algorithm based on multi-scale FAST-9.Feature points are extracted from the constructed Gaussian scale space by the FAST-9 detector,and main orientation is assigned based on information from a circular region around the interest point.SURF descriptor is extracted by a constructed square region aligned to the selected orientation.The matching pairs are determined with the nearest neighbor distance matching method.Experimental results show that the proposed algorithm outperforms better than SURF and SIFT algorithm in speed.

关 键 词：FAST-9检测子 SURF算法 局部不变特征 图像匹配 SIFT算法 高斯尺度空间 

分 类 号：TN911.73[电子电信—通信与信息系统]