J4 ›› 2009, Vol. 47 ›› Issue (05): 994-998.

• 计算机科学 • 上一篇    下一篇

基于k-邻域密度的离散点云简化算法与实现

车翔玖1, |刘杨1, 赵义武2| 车娜1, 高占恒1   

  1. 1. 吉林大学 计算机科学与技术学院, 长春 130012|2. 吉林大学 数学研究所| 长春 130012
  • 收稿日期:2009-03-06 出版日期:2009-09-26 发布日期:2009-11-03
  • 通讯作者: 车翔玖 E-mail:chexj@jlu.edu

Simplification and Implementation of Scattered Point CloudBased on the Density in k-Nearest Neighbors

CHE Xiangjiu1, |LIU Yang1, ZHAO Yi wu2, |CHE Na1, GAO Zhanheng1   

  1. 1. College of Computer Science and Technology, Jilin University, Changchun 130012, China;2. Institute of Mathematics, Jilin University, Changchun 130012, China
  • Received:2009-03-06 Online:2009-09-26 Published:2009-11-03
  • Contact: CHE Xiangjiu E-mail:chexj@jlu.edu

摘要:

提出一种基于k-邻域密度(即k-邻域中的点云密度)的离散点云简化算法, 并给出了在三角网格重构中的实现. 该方法不仅可以保证实物模型重建后的整体轮廓, 而且在细节部分也较好地保持了局部形状特征. 三角网格重构的实验结果表明, 所给方法简单、 高效, 同时, 在实物模型平滑处与曲率变化较大处均取得了理想效果.

关键词: k-邻域, 离散点云, 点云密度, 点云简化, 三角网格重构

Abstract:

This paper presents a simplification method for scattered point cloud based on the density of the points in k-nearest neighbors as well as a concrete algorithm and the effect of its implementation on triangulation. This method ensures that reconstruction of triangular mesh maintains the figure contour of an object, but also does well on the details of a local part. The examples show that the method in this paper is easy to implement, and holds high efficiency. Meanwhile, this method holds satisfied effect on the smoothness part, even on the part where the curvature varies greatly.

Key words: k-nearest neighbors, scattered point cloud, density of point cloud, simplification of point cloud, reconstruction of triangular mesh

中图分类号: 

  • TP391.72