%0 Journal Article
%T A Euclidean Reconstruction Method Based on Four Point Correspondences<br>一种基于4对图像对应点的欧氏重建方法
%A ZHU Hai-jiang
%A WU Fu-chao
%A HU Zhan-yi
%A <br>祝海江
%A 吴福朝
%A 胡占义
%J 中国图象图形学报
%D 2004
%I 
%X Usually, camera self-calibration is nonlinear. A linear camera calibration technique based on four point correspondences is proposed in this paper in order to obtain a linear method, and a robust Euclidean reconstruction under the random sample consensus (RANSAC) algorithms is computed from the images. The main results are: Assuming the camera undergoes two sets of translations, of which the corresponding rotation axes of camera are not parallel, then Euclidean geometry of a scene can be reconstructed linearly from four point correspondences. Experimental results on synthetic and real images have validated the proposed linear technique.
%K affine reconstruction
%K Euclidean reconstruction
%K camera intrinsic parameters<br>图像
%K 摄像机自标定
%K 场景
%K 鲁棒性
%K 算法
%K 对应
%K 平移
%K 像对
%K 重建方法
%K 模拟实验
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=D06194629680C940ACE75262F54B9D85&aid=A2C1A0D06553984B&yid=D0E58B75BFD8E51C&vid=9CF7A0430CBB2DFD&iid=59906B3B2830C2C5&sid=ED51333671C94F12&eid=563A479A59477CAE&journal_id=1006-8961&journal_name=中国图象图形学报&referenced_num=1&reference_num=13