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作 者:李学兵 胡天亮[1,2,3] 刘忠强 马嵩华[4] LI Xuebing;HU Tianliang;LIU Zhongqiang;MA Songhua(School of Mechanical Engineering,Shandong University,Jinan 250061,China;Key Laboratory of High Efficiency and Clean Mechanical Manufacture of Ministry of Educationat Shandong University,Jinan 250061,China;National Demonstration Center for Experimental Mechanical Engineering Education at Shandong University,Jinan 250061,China;Shenzhen Research Institute of Shandong University,Shenzhen 518000,China)
机构地区:[1]山东大学机械工程学院,山东济南250061 [2]高效洁净机械制造教育部重点实验室(山东大学),山东济南250061 [3]机械工程国家级实验教学示范中心(山东大学),山东济南250061 [4]山东大学深圳研究院,广东深圳518000
出 处:《计算机集成制造系统》2021年第8期2196-2203,共8页Computer Integrated Manufacturing Systems
基 金:2019年工业互联网创新发展工程专项资助项目;深圳市科技创新计划资助项目(JCYJ20180301171337648);山东省重点研发计划资助项目(2019GGX104043)。
摘 要:曲面生成是实现工业逆向三维重建测量的主要途径,为了提高整体工件的曲面重建精度,将工件特征区分为平缓和尖锐特征,根据不同特征类型的特点设计了一种曲面生成优化算法。采用主成分分析方法求解点云的法向量和曲面变分,提出一种广度优先搜索算法来调整点云的法向量方向;根据曲面变分区分出尖锐特征和平缓特征,采用贪婪投影三角形算法对尖锐特征进行重建,采用泊松算法对平缓特征进行重建;将尖锐特征和平缓特征合并得到最终的曲面模型。实验表明,所提算法的精度高于贪婪投影三角形算法和泊松算法。Surface reconstruction is the main way to realize industrial reverse and measurement.To improve the reconstruction accuracy of workpiece,a surface reconstruction optimization algorithm was designed according to the characteristics of different feature types.Principal Components Analysis(PCA)method was used to solve the normal vector and curvature of point cloud,and a breadth first search algorithm was proposed to adjust the normal vector direction of point cloud.The sharp features and flat features were distinguished according to the curvature.The sharp features were reconstructed by greedy triangle algorithm and the flat features were reconstructed by Poisson algorithm.This two parts were combined to get the final surface model.Experiments showed that the proposed algorithm was more accurate than greedy triangle algorithm and Poisson algorithm.
分 类 号:TH133.2[机械工程—机械制造及自动化] TP311[自动化与计算机技术—计算机软件与理论]
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