期刊文献+

一种新的点云数据组合精简算法研究 被引量:5

Research the Algorithm for Combined Reduction Based on Point Cloud
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摘要 三维激光扫描技术是最近几年在测量方面发展起来的一个热点,分析了国内外点云数据处理中压缩方法的研究现状,针对点云数据在采集过程中密度过大,单一的压缩方法存在不足的情况。提出了利用组合算法对点云数据进行精简,将最小距离法与三角形网格法结合在一起进行点云精简。通过编程实现了所提出的算法研究。将精简完的点云数据重新构建三角网,同时对精简完的点云数据进行建模,与原始模型对比,新方法的压缩效果比较理想。 The 3 dimension laser scanning technology appeared. It is a high-tech technology and also is the focus of recent survey development.the foreign research background of point cloud data reduction is reviewed in the paper.To the dense data processing of point cloud.This paper referred to simplify the cloudy with the combined.using minimum distance and triangular mesh to simplify the cloudy . we through the programming of a cloud data compression. referred new method to reconstruct the triangle net using simplified cloud data through programming. comparison with the original model. The new method of the compression effect more ideal.
出处 《科技通报》 北大核心 2014年第3期153-156,共4页 Bulletin of Science and Technology
关键词 三维激光扫描 点云数据 组合算法 三角网 建模 3D laser scanner system. cloud data. combined reduction triangular mesh model
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参考文献10

  • 1张远智,胡广洋,刘玉彤,王庆洲.基于工程应用的3维激光扫描系统[J].测绘通报,2002(1):34-36. 被引量:95
  • 2Weir D J,Milroy M,Bradley C,et al.Reverse engineeringphysical models employing wrap-aroud B-spline surfac-es and quadrics[J].Proc Introduction Mech Engrs-PartBIC J.1996,210(B2):147-157.
  • 3Martin R R,Stroud I A,Marshall A D.Data reduction forreverse engineering[J].RECCAD,Deliverable Document 1COPERNICUS Project.1996,1068,101-113.
  • 4Chen Y H,Neg C.T and Wang Y.Z.Data reduction in in-tegrated reverse engineering and rapid prototyping[J].Inter-national Journal of Computer Integrated Manufacturing,1999,12(2):97-103.
  • 5Saux E,Daniel M.Data reduction of polygonal curves usingB-splines[J].Computer-Aided Design,1999,31(8):507-515.
  • 6Schroeder W J, Zarge J A, et al. Decimation of trianglemeshes [J]. Computer Graphics, 1992, 26(2): 65-70.
  • 7Isler V, Lau R W H, Green Mark. Real-time multi-resolu-tion modeling for complex virtual environments [C].// Procof VRST’96 .HongKong, 1996. 11-19.
  • 8Rossignac J, Borrel P. Multi-resolution 3D approximationfor rendering complex scenes [C]//.Falcidieno B, KuniiTeds. Geometric Modeling in Computer Graphics.NewYork: Spring Verlag, 1993. 455-465.
  • 9周昆,潘志庚,石教英.基于三角形折叠的网格简化算法[J].计算机学报,1998,21(6):506-513. 被引量:86
  • 10刘春,吴杭彬.基于真三维TIN的三维激光扫描数据压缩方法[J].武汉大学学报(信息科学版),2006,31(10):908-911. 被引量:34

二级参考文献10

  • 1刘春,陆春.三维激光扫描数据的压缩与地形采样[J].遥感信息,2005,27(2):6-10. 被引量:20
  • 2潘志庚,马小虎,石教英.虚拟环境中多细节层次模型自动生成算法[J].软件学报,1996,7(9):526-531. 被引量:63
  • 3[1]EDWARD GOLDBERG H. Scan Your World with 3D Lasers[J]. GIM ,2001,(2).
  • 4[2]MATHIAS J P M, LEMMENS I, FRANK A, et al.3D Close-range Laser Mapping Systems[J]. GIM,2001,(1).
  • 5周晓云,计算机学报,1996年,19卷,增刊,217页
  • 6唐泽圣.三维数据可视化[M].北京:清华大学出版社,1999
  • 7Gao Jinlei.2D and 3D Surface Image Processing Algorithms and Their Application[D].New Jersey:New Jersey Institute of Technology,2001
  • 8Lee K H,Woo H,Suk T.Point Data Reduction Using 3D Grids[J].The International Journal of Advanced Manufacuring Technology,2001,18:201-210
  • 9Hur S M,Kim H C,Lee S H.STL File Generation with Data Reduction by the Delaunay Triangulation Method in Reverse Engineering[J].The International Journal of Advanced Manufacturing Technology,2002,19:669-678
  • 10William J S,Johntham A Z,William E L.Decimation of Triangle Meshes[J].Computer Graphics,1992,26(2):65-70

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