摘要
Imageware是当前应用最为广泛的逆向建模系统之一,它是一个非参数化的交互式建模工具。在这个工具下,如何从复杂点云数据中有效提取特征边界曲线决定着逆向建模的进程。本文提出了针对于Imageware逆向建模系统的逆向特征分类思想,在此基础上,总结并提出了三种构建特征边界的方法:基于点云曲率彩图的尖角特征法、基于截面特征曲线元的特征点提取法和特征边界线的直接交互构造法。
As one of the most popular reverse engineering （RE） modeling systems, Imageware is a non-parametric interactive tool. Based on it, how to effectively extract the boundaries of different features from complex point cloud determines the processing of model reconstruction. The thought of reverse features categorization for Imageware RE system was introduced, and based on this thought, three methods, curvature-plot-based sharp edge, section-edge-primitive-based interactive operations and interactive curve creation were summarized and developed to effectively extract feature boundaries for Imageware RE system.
出处
《机床与液压》
北大核心
2007年第9期24-27,共4页
Machine Tool & Hydraulics
基金
教育部博士点基金项目(20050562003)
广东省自然科学基金项目(04105386
5300090)
关键词
逆向特征
特征边界
点云曲率
尖角特征
截面特征
Reverse features
Feature boundary
Point cloud curvature
Sharp edge
Section edge
