反求工程中点云数据的二次曲面特征提取技术  

Quadric Feature Extraction from Points Cloud in Reverse Engineering

作　　者：单东日[1] 柯映林[1] 

机构地区：[1]浙江大学机械与能源工程学院,杭州310027

出　　处：《计算机辅助设计与图形学学报》2003年第12期1497-1501,共5页Journal of Computer-Aided Design & Computer Graphics

基　　金：国家"八六三"高技术研究发展计划 (863 5 11 942 0 18);教育部优秀骨干教师基金;教育部博士点专项基金(980 3 3 5 3 2 )资助

摘　　要：基于点的连通性及同一特征面测量点几何特征相似性 ,在特征曲面拟合误差控制下 ,实现了散乱数据二次曲面的区域分割 工程应用实例表明 :文中方法稳定可靠 。A robust hybrid segmentation method for quadric feature extraction is proposed It is composed of three steps First, points are segmented under the controlled error of deviation from a certain surface type Second, the points with similar geometric feature are extracted from the points segmented in the first step Finally, quadric feature extraction is implemented using a connectivity criterion for point sets Experimental results show that the precision of reconstructed model and efficiency of remodeling are improved remarkably

关 键 词：反求工程 点云数据 二次曲面 特征提取 曲面拟合 CAD CAM 

分 类 号：TP391.7[自动化与计算机技术—计算机应用技术]