• 论文 •    

基于启发式图匹配的模板形状搜索方法

孙宇航,黄运保,陈立平   

  1. 华中科技大学国家CAD支撑软件工程技术研究中心
  • 出版日期:2013-12-25 发布日期:2013-12-25

Template shape searching method based on heuristic graph matching

SUN Yu-hang,HUANG Yun-bao,CHEN Li-ping   

  1. National CAD Support Software Engineering Research Center,Huazhong University of Science & Technology
  • Online:2013-12-25 Published:2013-12-25

摘要: 为了改进依照模板在三维CAD模型中进行形状搜索的搜索效果和效率,提出一种基于禁忌搜索启发式图匹配的模板形状搜索方法。将B-rep表达的三维形状信息转化为属性图表达;对形成的模型属性图和模板属性图进行迭代的图匹配,在匹配过程中,采用禁忌搜索启发式方法,正向地优化搜索路径,反馈式地修正搜索偏差,同时尽可能地避免重复的尝试,最终快速有效地得到较优的结果。算法分析和实验结果表明,所提方法能够得到合理的非完全图匹配,同时能够将NP复杂度的图匹配问题降低至多项式时间内解决,实现了满足工程需求的模板形状搜索。

关键词: 计算机辅助设计, 形状搜索, 图匹配, 禁忌搜索启发式方法

Abstract: To improve the effectiveness and efficiency of the shape searching in 3D Computer Aided Design (CAD) model by reference to a template,a shape searching method was proposed based on Tabu search heuristic graph matching.After the transition from the shape information in B-rep to the attributed graph representation,the matching between templates attributed graph and model attributed graph was iteratively formed.To get a reasonable matching result quickly and effectively,during the match process the Tabu search heuristic method was used to forward optimize the search path and correct the search bias based on feedback so as to avoid the repetitive trials simultaneously.Algorithm analysis and experimental results showed that the proposed method could obtain the non-complete graph matching reasonably and realize the template shape searching of meeting engineering requirements.

Key words: computer aided design, shape searching, graph matching, tabu search heuristic method

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