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Image registration based on matrix perturbation analysis using spectral graph
We present a novel perspective on characterizing the spectral correspondence between nodes of the weighted graph with application to image registration.It is based on matrix perturbation analysis on the spectral graph.The contribution may be divided into three parts.Firstly, the perturbation matrix is obtained by perturbing the matrix of graph model.Secondly, an orthogonal matrix is obtained based on an optimal parameter, which can better capture correspondence features.Thirdly, the optimal matching matrix is proposed by adjusting signs of orthogonal matrix for image registration.Experiments on both synthetic images and real-world images demonstrate the effectiveness and accuracy of the proposed method.
作 者： Chengcai Leng Zheng Tian Jing Li Mingtao Ding 作者單位： Chengcai Leng,Jing Li,Mingtao Ding(School of Science,Northwestern Polytechnical University,Xi'an 710072,China)Zheng Tian(School of Science,Northwestern Polytechnical University,Xi'an 710072,China;State Key Laboratory of Remote Sensing Science,Institute of Remote Sensing Applications,Chinese Academy of Sciences,Beijing 100101,China)
刊 名： 中國光學快報(英文版) ISTIC EI 英文刊名： CHINESE OPTICS OF LETTERS 年，卷(期)： 2009 07(11) 分類號： O4 關鍵詞：【Image registration based on matrix p】相關文章：
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