%0 Journal Article
%T Camera Pose Calibration for Active Vision System<br>主动视觉系统中的摄像机姿态校准
%A Wan Xiang
%A Xu Guangyou
%A <br>万享
%A 徐光佑
%J 自动化学报
%D 1995
%I 
%X This paper presents a new geometrical method which use 4 coplanar points and their correspondences on image plane to compute the camera pose considering the lens distortion of radial alignment constraints, It also use random sample consensus technique and intrinsic parameters consistency constraints to improve the stability and accuracy of the results. The imperfectness of camera pose assessment by projection test and back-projection test is exposed. We suggest that the motion transformation between different view points should be used as important clue to verify the corresponding camera pose data.
%K computer vision
%K camera calibration
%K random sample consensus<br>机器视觉
%K 摄像机
%K 校准
%K 主动视学系统
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=E76622685B64B2AA896A7F777B64EB3A&aid=2E2A45BF46746DC66CC831ED88A98E02&yid=BBCD5003575B2B5F&vid=659D3B06EBF534A7&iid=CA4FD0336C81A37A&sid=B6DA1AC076E37400&eid=014B591DF029732F&journal_id=0254-4156&journal_name=自动化学报&referenced_num=0&reference_num=0