摘要
文章提出了一种基于Laplacian矩阵的图像特征匹配算法。首先分别构造两幅图像特征点集的Laplacian矩阵,并对这两个矩阵进行奇异值分解(SVD),然后利用分解的结果构造出一个反应特征点之间匹配程度的关系矩阵,最后根据关系矩阵实现两幅图像的特征点匹配。大量实验结果表明,该文所提出的算法具有较高的匹配精度。
A Laplacian matrix based algorithm for image matching is proposed in the paper.First,the Laplacian matrixes of the feature point sets of the two images are constructed and decomposed by SVD respectively.Then a relation matrix which denotes the matching degree among feature points is constructed by the result of the decomposition.Finally,the matching feature points of the two images are obtained according to the relation matrixes.Experimental results indicate that the algorithm in the paper has the higher precision of matching.
出处
《计算机工程与应用》
CSCD
北大核心
2005年第36期31-32,38,共3页
Computer Engineering and Applications
基金
国家自然科学基金资助项目(编号:60473102)
安徽大学211工程学术创新团队资助
