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This tool is a simplification of the ballpivoting algorithm. It imagines a bella eating a delaunay traignulation in order to extract a manifold surface.
It requires a single parameter: radius of the fretting ball.
Ball Fretting
Given a unif
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三维构建三角网的一些资料，以及点云文件的描述-Three-dimensional triangulation to build some of the information, as well as a descr iption of the point cloud file
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随机产生三维点云数据，利用程序寻找凸包，然后对凸包进行初始三角剖分-Randomly generated three-dimensional point cloud data, the use of the program to find the convex hull, then the convex hull of the initial triangulation
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点云数据进行三角网格化，实现点云数据的三角剖分~-Triangular mesh point cloud data, triangulation of point cloud data to
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voronoi图划分，用于点云的三角剖分，生成点云表面模型-voronoi graph partitioning triangulation for point cloud generated point cloud surface model
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对图像进行三角剖分，对三角点云数据进行处理。以便更好的显示图像、。-The image triangulation, triangular point cloud data processing. In order to better display image.
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已知点云数据采用基于Voronoi算法和Delaunay算法的三角化算法（vc++）。-Known point cloud data based on Voronoi algorithm and the Delaunay triangulation algorithm (Vc++).
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空间点云数据的各种变换和检选以及二维点云的三角化。其中包括点云数据的Delaunay三角化,鼠标检选，跟踪球等算法-Various transformation and detection of spatial point cloud data and triangulation of 2D point cloud. Including the Delaunay triangulation of point cloud data, the mouse detection, tracking ba
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对点云数据进行三角剖分，重新构建模型，里面有椅子，犀牛，马，大象等动物的点云数据，通过加载点云数据并且运行TestMyCrust文件，绘制出点云数据和网格。(Triangulation of point cloud data and reconstruct the model)
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用delaunay三角剖分和网格填充对离散点云数据进行网格重建(Mesh reconstruction of discrete point cloud data using Delaunay triangulation and mesh filling)
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基于PCL利用贪婪投影算法实现一个点云数据的网格化(Matching and triangulation of point cloud data by using PCL point cloud Library)
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对激光雷达点云进行三角剖分，对传统Crust算法进行了改进(Triangulation of LIDAR point cloud)
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