• CN:11-2187/TH
  • ISSN:0577-6686

›› 2007, Vol. 43 ›› Issue (6): 133-136.

• 论文 • 上一篇    下一篇

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散乱数据点云型面特征分析算法的研究与应用

孙殿柱;范志先;李延瑞;孙肖霞   

  1. 山东理工大学机械工程学院;北京航空航天大学机械与自动化学院
  • 发布日期:2007-06-15

RESEARCH AND APPLICATION OF SURFACE FEATURE ANALYSIS FOR SCATTER DATA POINTS

SUN Dianzhu;FAN Zhixian;LI Yanrui;SUN Xiaoxia   

  1. School of Mechanical Engineering, Shandong University of Technology School of Mechanical Engineering and Automation, Beihang University
  • Published:2007-06-15

摘要: 提出一种产品散乱数据点云型面特征快速分析算法。该算法基于R*-tree动态空间存取模型,能快速、准确地获取点云局部型面参考数据,并采用最小面积包围矩形法对其进行参数化;以自由曲面逼近产品局部型面,估算数据点云型面曲率值;将点云型面曲率映射为RGB颜色值,以曲率云图反映产品型面特征分布。该算法运行效率高,产品数据适应性强,型面特征分析结果准确。

关键词: R*-tree, 动态空间存取模型, 曲率云图, 型面特征分析, 自由曲面拟合, 最小包围矩形参数法

Abstract: A new effective algorithm of surface feature analysis based on scattered data points is proposed, which includes three steps:First, the local surface reference data parameterized using method of minimum area for enclosure rectangle is obtained based on R*-tree dynamic spatial access model; Second, the surface curvature is computed on the basis of the polynomial surface fitted by the parameterized data in the first step; Third, the distribution of surface feature is reflected through color plot mapped by surface curvature. Experimental examples show that this algorithm can be used by various data, high operating efficiency and accuracy of surface feature analysis.

Key words: Color plot, Dynamic spatial access model, Parameterize method of minimum enclosure, Polynomial surface fitting, R*-tree, rectangle, Surface feature analysis

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