%0 Journal Article
%T Camera self-calibration method based on hybrid optimization algorithm<br>混合优化算法的摄像机自标定方法研究
%A 林立财
%A 李其申
%A 江泽涛
%J 计算机应用研究
%D 2009
%I 
%X This paper presented a new camera self-calibration method by combining an improved genetic algorithm (GA) with Levenberg-Marquardt (LM) algorithm. Firstly, translated the simplified Kruppa equation defined by Hartley into the optimized cost function. Secondly, calculated the minimum value of the optimized cost function by a hybrid optimization algorithm which combined the improved GA with LM algorithm. Finally, obtained the intrinsic parameters of the camera. The experimental results show that the accuracy of the proposed method is obviously improved compared with single optimization methods.
%K self-calibration
%K hybrid optimization
%K fundamental matrix
%K GA
%K LM algorithm<br>自标定
%K 混合优化
%K 基础矩阵
%K 遗传算法
%K LM算法
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=A9D9BE08CDC44144BE8B5685705D3AED&aid=EB1D33412930B752CBFEC10FD907444A&yid=DE12191FBD62783C&vid=96C778EE049EE47D&iid=59906B3B2830C2C5&sid=BA54E0B855601106&eid=84A8C2F42D3FCCEE&journal_id=1001-3695&journal_name=计算机应用研究&referenced_num=0&reference_num=13