%0 Journal Article
%T Active shape models based on artificial fish swarm algorithm<br>基于人工鱼群算法的主动形状模型*
%A LIU Qing-yan
%A LIU Yuan
%A <br>刘清艳
%A 刘渊
%J 计算机应用研究
%D 2009
%I 
%X This paper introduced an ASM based on artificial fish-swarm algorithm. This improved method was evaluated on ORL face database, and the experimental results show that the new algorithm has some advantages in terms of searching speed, searching accuracy, avoiding local optimum.
%K active shape models(ASM)
%K artificial fish-swarm algorithm(AFSA)
%K feature extraction
%K statistical model<br>主动形状模型
%K 人工鱼群算法
%K 特征提取
%K 统计模型
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=A9D9BE08CDC44144BE8B5685705D3AED&aid=E0769A3862DCF52417B686E98EC76898&yid=DE12191FBD62783C&vid=96C778EE049EE47D&iid=94C357A881DFC066&sid=2DCCA3D6893CC609&eid=4ED782DFCB910AF4&journal_id=1001-3695&journal_name=计算机应用研究&referenced_num=0&reference_num=10