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1)  huge point-sampled geometry
大型三维点云数据
1.
A new algorithm for interactive rendering of huge point-sampled geometry based on view-dependent level-of-detail(LOD) and out-of-core techniques is presented.
通过结合基于视点的细节层次(level-of-detail,LOD)控制技术和内外存调度的数据控制策略,实现大型三维点云数据在一般配置PC机上的实时交互浏览。
2)  three-dimensional point cloud data
三维点云数据
1.
In this paper,a measurement approach for standing tree volume based on laser scanner is presented,which uses geometry analysis to process three-dimensional point cloud data and makes a program with VC~(++) and Matlab.
提出一种基于激光扫描的林木材积测定技术,该技术利用几何方法处理扫描获得的三维点云数据,并采用VC++和Matlab语言编程,可以快速、准确地计算林木材积。
3)  data cloud of 3D human body
人体三维点云数据
4)  3-D data points
三维数据点
1.
Aiming at surface accessories that have a lot of data points,the article provides a method about developing 3-D graphics system based on OpenGL,which solves the difficult problems in changing a lot of 3-D data points to 3-D graphics.
针对具有大规模数据点的曲面零件,提出了一种基于OpenGL的三维曲面零件实体的图形开发方法,有效解决了由大量三维数据点构建三维图形中所遇到的难题。
5)  three dimensional cloud points model
三维点云模型
1.
Reconstruction of three dimensional cloud points model based on Susan operator and optical flow algorithm
基于Susan算子和光流法的三维点云模型重建
6)  threedimensional points cloud
三维点云
1.
A method and steps of reconstructing geometrical model from threedimensional points cloud are studied.
研究了由三维点云重构几何形体模型的方法与步骤。
补充资料:鞍山钢铁(集团)公司大型轧钢厂大型轧机热轧型钢


鞍山钢铁(集团)公司大型轧钢厂大型轧机热轧型钢


鞍山钢铁(集团)公司大型轧钢厂大型轧机热轧型钢
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