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期刊信息
  • 主管单位:
  • 上海市教育委员会
  • 主办单位:
  • 上海理工大学
  • 主  编:
  • 庄松林
  • 地  址:
  • 上海市军工路516号
  • 邮政编码:
  • 200093
  • 联系电话:
  • 021-55277251
  • 电子邮件:
  • xbzrb@usst.edu.cn
  • 国际标准刊号:
  • 1007-6735
  • 国内统一刊号:
  • 31-1739/T
  • 邮发代号:
  • 4-401
  • 单  价:
  • 15.00
  • 定  价:
  • 90.00
朱文博,杨超,甘屹,陈龙.基于广义变换矩阵的机械零件三维模型骨架匹配[J].上海理工大学学报,2019,41(4):381-387.
基于广义变换矩阵的机械零件三维模型骨架匹配
3D Model Skeleton Matching of Mechanical Parts Based on Generalized Transform Matrix
投稿时间:2018-06-25  
DOI:10.13255/j.cnki.jusst.2019.04.012
中文关键词:  机械零件  三维模型  骨架  广义变换矩阵  皮尔逊相关系数  相似度
英文关键词:mechanical parts  3D model  skeleton  generalized transformation matrix  Pearson correlation coefficient  similarity degree
基金项目:
作者单位
朱文博 上海理工大学 机械工程学院, 上海 200093 
杨超 上海理工大学 机械工程学院, 上海 200093 
甘屹 上海理工大学 机械工程学院, 上海 200093 
陈龙 上海理工大学 机械工程学院, 上海 200093 
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中文摘要:
      提出了一种基于广义变换矩阵的机械零件三维模型骨架匹配方法。骨架中两骨架点间的连线称为骨架枝,借鉴机器人学中广义连杆之间关系的表示方法,将骨架枝看成若干个连杆,在骨架点处建立固定坐标系及骨架枝坐标系,采用广义变换矩阵表示骨架枝。将广义变换矩阵转化成向量,引用统计学中的相关性度量方法,通过计算2个向量的皮尔逊相关系数得到2个广义变换矩阵的相似度,即得到2个骨架枝的相似度。搜索相匹配的骨架枝并计算整个骨架的相似度。通过实例验证和实验分析,表明该算法具有较快的检索速度和较高的准确度。
英文摘要:
      A skeleton matching method for 3D models of mechanical parts based on generalized transformation matrix was proposed. The connection line between the two skeleton points is called the skeleton branch. Referring to the representation method of the relationship between the generalized connecting rods in the robotics, the skeleton branches are regarded as a number of connecting rods. A fixed coordinate system and a skeleton coordinate system are established at the skeleton point. The skeleton branch is represented by the generalized transformation matrix. The generalized transformation matrix is transformed into a vector. Referring to the method of correlation measurement in statistics, the similarity degree of the two generalized transformation matrices was obtained by calculating the Pearson correlation coefficients of two vectors, that is, the similarity degree of the two skeleton branches. Search the matching skeleton branches and calculate the similarity of the whole skeleton. Through the example verification and experimental analysis, the algorithm has a fast retrieval speed and good accuracy.
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