%0 Journal Article
%T A Range Image Segmentation Algorithm Based on Gaussian Mixture Model<br>一种基于高斯混合模型的距离图像分割算法
%A XIANG Ri-Hua
%A WANG Run-Sheng
%A <br>向日华
%A 王润生
%J 软件学报
%D 2003
%I 
%X A range image segmentation algorithm based on Gaussian mixture model of surface normal is proposed. It decreases the times of clustering computing by fully utilizing the physical meaning of Gaussian mixture model of surface normal, and achieves automatic model selection via the posterior probabilities computed from the model parameter estimated by Expectation-Maximization (EM) algorithm. Experimental results on 60 real range images from two kinds of range cameras are compared objectively with some popular segmentation algorithms.
%K range image segmentation
%K Gaussian mixture model
%K EM algorithm
%K Bayes factor<br>距离图像分割
%K 高斯混合模型
%K EM算法
%K 贝叶斯因子
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=7735F413D429542E610B3D6AC0D5EC59&aid=7FE8C7218C60F69D&yid=D43C4A19B2EE3C0A&vid=F3583C8E78166B9E&iid=DF92D298D3FF1E6E&sid=49833082E2634437&eid=FD947B5A26542F64&journal_id=1000-9825&journal_name=软件学报&referenced_num=17&reference_num=9