Hierarchical 3D mechanical parts matching based-on adjustable geometry and topology similarity measurements  

作　　者：马嵩华 田凌 

机构地区：[1]Department of Mechanical Engineering,Tsinghua University

出　　处：《Journal of Central South University》2014年第1期89-99,共11页中南大学学报（英文版）

基　　金：Project(51175287)supported by the National Natural Science Foundation of China;Project(2006AA04Z112)supported by National High Technology Research and Development Program of China

摘　　要：A hierarchical scheme of feature-based model similarity measurement was proposed,named CSG_D2,in which both geometry similarity and topology similarity were applied.The features of 3D mechanical part were constructed by a series of primitive features with tree structure,as a form of constructive solid geometry(CSG) tree.The D2 shape distributions of these features were extracted for geometry similarity measurement,and the pose vector and non-disappeared proportion of each leaf node were gained for topology similarity measurement.Based on these,the dissimilarity between the query and the candidate was accessed by level-by-level CSG tree comparisons.With the adjustable weights,our scheme satisfies different comparison emphasis on the geometry or topology similarity.The assessment results from CSG_D2 demonstrate more discriminative than those from D2 in the analysis of precision-recall and similarity matrix.Finally,an experimental search engine is applied for mechanical parts reuse by using CSG_D2,which is convenient for the mechanical design process.A hierarchical scheme of feature-based model similarity measurement was proposed, named CSG_D2, in which both geometry similarity and topology similarity were applied. The features of 3D mechanical part were constructed by a series of primitive features with tree structure, as a form of constructive solid geometry （CSG） tree. The D2 shape distributions of these features were extracted for geometry similarity measurement, and the pose vector and non-disappeared proportion of each leaf node were gained for topology similarity measurement. Based on these, the dissimilarity between the query and the candidate was accessed by level-by-level CSG tree comparisons. With the adjustable weights, our scheme satisfies different comparison emphasis on the geometry or topology similarity. The assessment results from CSG_D2 demonstrate more discriminative than those from D2 in the analysis of precision-recall and similarity matrix. Finally, an experimental search engine is applied for mechanical parts reuse by using CSG_D2, which is convenient for the mechanical design process.

关 键 词：D2 shape distribution CSG tree geometry dissimilarity topology dissimilarity adjustable weight 

分 类 号：TH13[机械工程—机械制造及自动化] TP391.7[自动化与计算机技术—计算机应用技术]