%0 Journal Article
%T A NEURAL ALGORITHM FOR ESTIMATING THE 3D RIGID BODIES''''MOTION PARAMETERS<br>一种三维刚体运动参数鲁棒估计的神经算法
%A Chen Haifeng
%A Shao Jiayu
%A Chen Weinan
%A <br>陈海峰
%A 邵家玉
%A 陈维南
%J 电子与信息学报
%D 2000
%I 
%X This paper deals with estimating the rigid bodies' motion parameters from token correspondence between two perspective views. Total least square(TLS) method is used to solve the linear equations of motion estimation. Then a minor component analysis (MCA) neuron is constructed to get the TLS solution. Finally a outline resisting version of the learning rule is developed by using the statistical approach. Comparative experiments have been made and results show that our robust rules improve the performance significantly when outliers are presented.
%K Rigid body
%K Motion
%K Parameter estimation
%K Neuron
%K Robust
%K Total least square
%K Minor component<br>刚体
%K 运动
%K 参数估计
%K 神经元
%K 鲁棒
%K 全最小二乘法
%K 次分量
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=1319827C0C74AAE8D654BEA21B7F54D3&jid=EFC0377B03BD8D0EF4BBB548AC5F739A&aid=15FBCAAB6D73116A&yid=9806D0D4EAA9BED3&vid=BC12EA701C895178&iid=94C357A881DFC066&sid=EB8E83807F36F05B&eid=D7F3FD6D87AEF622&journal_id=1009-5896&journal_name=电子与信息学报&referenced_num=0&reference_num=10