复杂几何模型扫描数据的孔、槽及表面类型的检测  

Feature Recognition of Hole, Slot and Free-formed Surface from Scanned Data of Complex Model

作　　者：张雪华[1] 罗阳[1] 刘胜青[1] 郭江建[1] 杨志华[1] 

机构地区：[1]四川大学制造学院,成都610065

出　　处：《机床与液压》2006年第3期51-53,共3页Machine Tool & Hydraulics

基　　金：国家自然科学基金自由申请项目(申请代码:E051603)

摘　　要：逆向工程就是从模型样件的扫描点云中提取物理特征进而重建该实体的过程。本文介绍了一种通过人工神经网络从三维扫描数据点云识别棱柱特征并进行CAD模型重建的新算法。该算法先从扫描点云中抽取四大基本几何属性:方向、凹/凸性、圆/直性、开/闭性,接着输入点的几何属性到人工神经网络(ANN)进行特征识别。本文探讨了如何直接从扫描点云中通过上述四大几何属性识别物理特征的算法。实验结果证明:逆求产品和样件在尺寸和结构上高度吻合。Reverse engineering （RE） is the process of digitally capturing physical entities of an existing part from its scanned data. A novel methodology was proposed for reconstruction of CAD models by recognizing prismatic features from a data set of three - dimensional scanned points, which utilizes the concepts of artificial neural networks （ANNs） . Four geometric attributes, such as chain code, convex/concave, circular/rectangular, and open/closed attribute, were extracted from a scanned point set and presented to the ANN module for feature recognition. The paper algorithms for determining these attributes directly from a scanned point set based on these attributes, the system validation and sample results were discussed.

关 键 词：逆向工程 扫描点云 几何特征识别 点的几何属性 几何模型 

分 类 号：TG8[金属学及工艺—公差测量技术]