%0 Journal Article
%T Shape Recognition and Classification Based on Skeleton Junction Nodes Features<br>基于骨架接合节点特征的形状识别与分类
%A CHEN Jun
%A WANG Bo
%A ZHOU Yu
%A BAI Xiang
%A LIU Wen-yu
%A <br>陈珺
%A 王波
%A 周瑜
%A 白翔
%A 刘文予
%J 计算机科学
%D 2011
%I 
%X This paper proposed an algorithm using skeleton information to do shape recognition and classification. Using the information of skeleton junction nodes,the problem of shape similarity is converted to distance of skeleton junction nodes. Using method of neural network, the classification results can be got at the output of the network. The method can solve the recognition of nonrigid objects. The experiment results show that our method has better recognition results than other method.
%K Skeleton
%K Neural network
%K Shape recognition
%K Shape classification<br>骨架，神经网络，形状识别，形状分类
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=64A12D73428C8B8DBFB978D04DFEB3C1&aid=5035D69748299625B6492E60226B0D3E&yid=9377ED8094509821&vid=16D8618C6164A3ED&iid=CA4FD0336C81A37A&sid=69E4C201C13601F9&eid=C1B34927D429E92F&journal_id=1002-137X&journal_name=计算机科学&referenced_num=0&reference_num=6