结合空间金字塔局部特征的谱匹配算法

A Spectral Matching Algorithm Combined with Local Feature of Spatial Pyramid

为提高基于谱分解的图像匹配算法的匹配精度,通过对中心对称局部二值模式(CS-LBP)进行修正,并引入空间金字塔尺度划分方法,获取图像局部特征描述向量;并以此向量之间相似性作为度量方式,重构邻接矩阵,通过谱分解获取特征点匹配关系.通过对比实验,结果表明,该算法匹配精度较高.

In order to improve the matching accuracy of image matching algorithm based on spectral decomposition, the image local feature description vector is obtained by improving Center-Symmetric Local Binary Pattern（CS-LBP） and introducing the spatial pyramid method of scale division. Then the adjacent matrix is reconstructed according to the similarity between description vectors,and the match-ing relation between the image feature points is acquired through the spectral decomposition. The con-trast experiment results show that the matching algorithm has high accuracy.