%0 Journal Article
%T Extracting Methods of Primitive Shapes and Boundary Curves from Scattered Point Set<br>离散点云原始形状及边界曲线提取算法
%A LIU Guang-shuai
%A LI Bai-lin
%A HE Chao-ming
%A <br>刘光帅
%A 李柏林
%A 何朝明
%J 计算机科学
%D 2011
%I 
%X A huge scattered point data includes all kinds of scanning artifacts including noise,outliers,holes and irregular/anisotropic sampling. Most common surface reconstruction methods fail due to these shortcomings. This poses challenges to recovering datasets topology and retrieving features. In order to solve this problem, a robust and efficient reconstruction method was proposed. First, computed local properties for each data point, then used this information to detect simple primitive shapes in the data, at last, described a novel method to extract and optimize boundary curves on the primitive shapes and Employed the reconstructed boundary curves to extract a piccewise smooth surface mesh. The experimental results show the effectiveness of our method with reconstructions of synthetic datasets and real-scenes datasets.
%K Scattered point data
%K Primitive shapes
%K Boundary curves
%K Feature points
%K Multi-resolution analysis
%K Statistics optumzation<br>散乱点云，原始形状，边界曲线，特征点，多尺度分析，统计优化
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=64A12D73428C8B8DBFB978D04DFEB3C1&aid=1EB2F90129FBF99855713EBB9CE86D99&yid=9377ED8094509821&vid=16D8618C6164A3ED&iid=94C357A881DFC066&sid=69E4C201C13601F9&eid=4133DDB79B497495&journal_id=1002-137X&journal_name=计算机科学&referenced_num=0&reference_num=13