%0 Journal Article
%T Particle swarm optimization based pose and correspondence estimation<br>匹配与姿态估计的粒子群优化算法
%A Tan Zhiguo
%A Lu Min
%A Ren Ge
%A Liu Shunfa
%A <br>谭志国
%A 鲁敏
%A 任戈
%A 刘顺发
%J 中国图象图形学报
%D 2011
%I 
%X Point Pattern Matching(PPM) is an important issue of computer vision and pattern recognition,which is widely used in target recognition,medical and remote image registration,pose estimation,etc.This paper proposes a particle swarm optimization(PSO) based approach for pose and correspondences estimation between the feature points of two images under affine transformation.In the method,the point sets matching problem is formulated as an objective function's optimization problem in the affine transformation pa...
%K computer vision
%K pose estimation
%K point pattern matching
%K particle swarm optimization<br>计算机视觉
%K 姿态估计
%K 点模式匹配
%K 粒子群优化
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=D06194629680C940ACE75262F54B9D85&aid=22C7602F157BE8D5B9484715360B75D0&yid=9377ED8094509821&vid=7801E6FC5AE9020C&iid=E158A972A605785F&sid=DB7B2C790D19BE6E&eid=6C62BFE34266FA92&journal_id=1006-8961&journal_name=中国图象图形学报&referenced_num=0&reference_num=14