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基于区域特征分割的CAD模型局部搜索方法 被引量:1

Local Retrieval for CAD Model Based on Region Feature Decomposition
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摘要 为弥补现有的CAD模型局部搜索方法应用于结构复杂模型时存在的数据量大和搜索效率低下的缺陷,提出一种基于区域特征分割的CAD模型局部搜索方法。首先依据模型的边界将其分割为一组数量最少的、有一定工程意义的、由一些相互连接的面组成的区域特征集合;接着对分割形成的区域特征及其邻接关系属性进行编码,由属性编码值的相似度度量得到相比较CAD模型的相似度。实验结果表明,该方法能够搜索到相关的CAD模型局部结构,并且搜索效率和精准程度能够满足实际需要。 A CAD model retrieval method based on region feature decomposition was presented herein in order to resolve low retrieval efficiency problem for complex models. First,according to the salient geometric features of the mechanical part,the surface boundary of a solid model was divided in- to local convex,concave and planar regions with the minimal number. Then,a kind of region codes was given to surface region and their links in CAD model. And the similarity between two models was measured by the comparison of their region codes. Experimental results show that this method is able to support local retrieval and its efficiency meets the requirements of practical applications.
出处 《中国机械工程》 EI CAS CSCD 北大核心 2013年第12期1611-1615,1675,共6页 China Mechanical Engineering
基金 国家自然科学基金资助项目(61173115 50935004) 湖北省教育厅科技项目(B2013229)
关键词 区域特征 模型分割 局部搜索 属性邻接图 region feature model decomposition local retrieval attributed relational graph
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参考文献8

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