%0 Journal Article
%T Orthogonal Approximation Algorithm for Parameter Model Optimization<br>参数优化模型的正交逼近算法
%A Yang Dan You Lei Zhang Xiao-hong
%A <br>杨丹
%A 游磊
%A 张小洪
%J 电子与信息学报
%D 2009
%I 
%X Image registration is transformed an unconstrained optimization problem in image mosaic. Parameter optimization model algorithm is proposed by means of quadratic form theory-- orthogonal approximation algorithm. According to properties of best-function, a direct method is adopted without calculating derivative or gradient, only calculating function values. The advantages are eliminating of taking up large computer memory, only using a matrix to store information. Simulation experiments show the algorithm has advantages of fast convergence, result precisely and good practicality.
%K Image mosaic
%K Image registration
%K Concavity and convexity
%K Optimization<br>图像拼接
%K 图像配准
%K 凹凸性
%K 最优化
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=1319827C0C74AAE8D654BEA21B7F54D3&jid=EFC0377B03BD8D0EF4BBB548AC5F739A&aid=F7032A2BB3292BC03302307CC09A8C6B&yid=DE12191FBD62783C&vid=4AD960B5AD2D111A&iid=708DD6B15D2464E8&sid=960FAAFDFF4DC10B&eid=341738FDDA6AC407&journal_id=1009-5896&journal_name=电子与信息学报&referenced_num=0&reference_num=10