%0 Journal Article
%T Automatic segmentation of motion capture data based on latent space<br>基于隐空间的运动捕获数据自动分割*
%A QU Shi
%A YU Rong-huan
%A WU Ling-d
%A WEI Ying-mei
%A FENG Xiao-meng
%A <br>瞿师
%A 于荣欢
%A 吴玲达
%A 魏迎梅
%A 冯晓萌
%J 计算机应用研究
%D 2011
%I 
%X This paper proposed an automatic segmentation technique for motion capture data. It reduced the dimension of motion capture data with Gaussian process latent variable models, mapped the motion capture data from high-dimensional observation space to low-dimensional latent space. Construced motion character function in latent space, which had much excellence such as simple construction, sensitive to all joints, and so on. By analyzing geometry character of motion character function, it could detect the segmentation point in motion capture data, and segment the motion. Experiments show that this technique has high correct rate and well adaptation.
%K motion capture data
%K automatic segmentation
%K dimensional reduction
%K latent space
%K motion character<br>运动捕获数据
%K 自动分割
%K 降维
%K 隐空间
%K 运动特征
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=A9D9BE08CDC44144BE8B5685705D3AED&aid=F32C7DEF351C88CC6D237236B866829A&yid=9377ED8094509821&vid=D3E34374A0D77D7F&iid=5D311CA918CA9A03&sid=6020A2960BA60A39&eid=953AE9DBDCF2FC48&journal_id=1001-3695&journal_name=计算机应用研究&referenced_num=0&reference_num=7