%0 Journal Article
%T Improved projection based M-estimators for fundamental matrix in stereovision<br>立体视觉中基本矩阵的改进投影M估计方法
%A QIAN Jiang
%A TIAN Zheng
%A JU Yan-wei
%A <br>钱江
%A 田铮
%A 句彦伟
%J 计算机应用
%D 2007
%I 
%X In stereovision and image motion analysis, it is important to eliminate the mismatched feature points to get accurate fundamental matrix estimation. In order to overcome the limitations of kernel estimation and shortcomings of the method for determining inliers/outliers threshold in Error-In-Variables (EIV) model, the projection based M-estimators (pbM) was improved. First, a new mode search method named adaptive kernel density estimation was proposed. Then, a different strategy was given to determine the inliers. Finally, both simulation and experiments on real data validate the effectiveness of the improved pbM algorithm.
%K projection based M-estimators (pbM) algorithm
%K fundamental matrix
%K kernel density estimation
%K robustness<br>投影M估计方法
%K 基本矩阵
%K 核密度估计
%K 稳健性
%K 立体视觉
%K 基本矩阵
%K 改进
%K 投影
%K 估计方法
%K stereovision
%K fundamental
%K matrix
%K based
%K projection
%K 有效性
%K 验证
%K 实验
%K 真实数据
%K 模拟
%K 估计函数
%K 核密度
%K 自适应
%K 极值点
%K 搜索
%K 估计算法
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=831E194C147C78FAAFCC50BC7ADD1732&aid=14E16CBD27430512070108D6AE0F0635&yid=A732AF04DDA03BB3&vid=DB817633AA4F79B9&iid=38B194292C032A66&sid=00520952CD4BF212&eid=A0C7970CD30381EA&journal_id=1001-9081&journal_name=计算机应用&referenced_num=0&reference_num=11