%0 Journal Article
%T Motion data compression using sparse representation<br>稀疏表达的运动数据压缩
%A Qi Tian
%A Xiao Jun
%A Zhuang Yueting
%A <br>齐天
%A 肖俊
%A 庄越挺
%J 中国图象图形学报
%D 2013
%I 
%X As motion capture data is widely used nowadays, the compression of motion data becomes more and more important. In this paper, a sparse representation based approach is proposed for efficient compression of human motion data. A new algorithm is designed to extract the dictionary from an input motion clip automatically. Each frame of a motion clip can be represented by a sparse linear combination of the dictionary vectors. The experimental results show that our method can get a high compression ratio (about 50 times) for general short motion data, with a limited reconstruction error, which is hard to visually distinguish (ARMS error less than 2.0).
%K motion data compression
%K sparse representation
%K dictionary
%K compression ratio
%K overall error<br>运动数据压缩
%K 稀疏表达
%K 字典
%K 压缩比
%K 重建误差
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=D06194629680C940ACE75262F54B9D85&aid=2C0F2EE71B46795FCEFC7661F1DF2F57&yid=FF7AA908D58E97FA&vid=13553B2D12F347E8&iid=38B194292C032A66&sid=A2745AA1110798CA&eid=E3094127AA4ABC1A&journal_id=1006-8961&journal_name=中国图象图形学报&referenced_num=0&reference_num=17