摘要
Imageware是当前应用最为广泛的逆向造型系统之一,它是一个非参数化的交互式建模工具。在由数据点云构建物体表面模型中,对数据点云恰当的分割是逆向建模的一个很重要步骤。提出了针对于Imageware逆向建模系统的逆向特征分类思想,总结并提出了基于边、基于面和基于特征的方法,并通过实例证明了其可行性。
As one of the most popular reverse engineering （RE） modeling systems, Imageware is a non-parametric interactive tool. In order to generate a fine surface model from point cloud data, the segmentation of three-dimensional point cloud data is integrant and plays an important role in RE fitting. The thought of reverse features categorization for Imageware RE system is introduced, and the methods edge-based, face-based and feature-based are summarized and developed. The examples have proven this method＇s validity.
出处
《机械制造与自动化》
2009年第1期113-115,共3页
Machine Building & Automation
关键词
逆向特征
点云数据
自动分割
特征分割
reverse features
point cloud
auto segmentation
feature segmentation
