%0 Journal Article
%T A Method for Pose Estimation Based on Single Camera and Object Model<br>一种基于模型的单相机姿态估计方法
%A CAI Wei-ke
%A WEN Gong-jian
%A XI Fei
%A <br>蔡伟柯
%A 文贡坚
%A 习飞
%J 中国图象图形学报
%D 2008
%I 
%X The problem of Pose estimation based on single camera arises in many areas of computer vision,including object recognition,site inspection and updating,object tracking and autonomous navigation.Many methods are used to solve this problem nowadays.These methods can be categorized into two groups depending on whether correspondence is known:one is to estimate the Pose parameters if the correspondence has been solved;the other is to solve the Pose and correspondence problem simultaneously.A new method based on single camera for estimating the Pose parameters of the object is presented in this paper.Different from the existing methods,the correspondence problem which is coupled with Pose problem is completely avoided in the proposed approach.An energy function including the Pose parameters is defined to the degree of superposition between the model projection and the object area in the image.The optimal Pose parameters are found by optimizing the energy function.Hooke-Jeeves Algorithm is used to minimize the energy function.The performance of the method is evaluated in a variety of simulations on synthetic data.These tests show that the method is accurate and effective.
%K single camera
%K pose estimation
%K energy function
%K Hooke-Jeeves algorithm<br>单相机
%K 姿态估计
%K 能量函数
%K Hooke-Jeeves算法
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=D06194629680C940ACE75262F54B9D85&aid=834BA248B587F38DD81F8724B0F86AAC&yid=67289AFF6305E306&vid=FC0714F8D2EB605D&iid=38B194292C032A66&sid=F9A6B6F259CE5121&eid=AE43DE0664B02889&journal_id=1006-8961&journal_name=中国图象图形学报&referenced_num=0&reference_num=19