%0 Journal Article
%T Incrementally Learning Human Pose Mapping Model<br>增量式人体姿态映射模型的学习方法
%A LIU Chang-hong
%A YANG Yang
%A CHEN Yong
%A <br>刘长红
%A 杨扬
%A 陈勇
%J 计算机科学
%D 2010
%I 
%X Dicriminative approaches to 3D human pose estimation directly learn a mapping from image observations to pose,which requires large training sets.Gaussian process regression(GPR) to learn this mappings has been limited for high computational complexity,so we proposed a incrementally learning mappings based on GPR and Locally Weighted Projection Regression(LWPR).The approach utilized GPR to learn individual local models and LWPR to update exis-ting models or learn a new local model for pose estimation.The exp...
%K Pose estimation
%K Gaussian process regression
%K Locally weighted projection regression
%K Incremental learning<br>姿态估计
%K 高斯过程回归
%K 局部加权投影回归
%K 增量学习
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=64A12D73428C8B8DBFB978D04DFEB3C1&aid=33969FEECAF60581AD0E1D4439F6E81C&yid=140ECF96957D60B2&vid=42425781F0B1C26E&iid=38B194292C032A66&sid=DC330B09A33F1455&eid=B7BFA4B351E4C682&journal_id=1002-137X&journal_name=计算机科学&referenced_num=0&reference_num=11