%0 Journal Article
%T Retrieval-angle clustering histogram and clustering for 3D model retrieval<br>相对角度直方图聚类在3维模型检索中的应用
%A guojing
%A FENG Jun
%A YE Haosheng
%A ZHOU Gang
%A <br>郭竞
%A 冯筠
%A 叶豪盛
%A 周刚
%J 中国图象图形学报
%D 2010
%I 
%X In this paper, we propose a novel 3D model retrieval algorithm based on Relative angle-distribution and clustering (RAC). A geometric feature vector based on relative-angle distribution (RAD) of surface points is defined. The experimental results demonstrate that RAD is a good global feature for shape classification. To reduce the feature dimensions and improve the computational efficiency, clustering is employed. The model classification results show that compared with other methods, our algorithm RAC (relative angle clustering) achieves better retrieval accuracy and efficiency.
%K 模型分类
%K 相对角度
%K 角度直方图
%K 聚类
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=D06194629680C940ACE75262F54B9D85&aid=0698C99247897D77CD067740B988AAAE&yid=140ECF96957D60B2&vid=23CCDDCD68FFCC2F&iid=708DD6B15D2464E8&sid=9036AC33107DC7C4&eid=4BFBB19F1A63A4F0&journal_id=1006-8961&journal_name=中国图象图形学报&referenced_num=0&reference_num=0