Surface Reconstruction From Problem Point Clouds
Surface Reconstruction From Problem Point Clouds
复制标题
从问题点云重建表面
DOI：
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发表时间：
2002
期刊：
影响因子：
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通讯作者：
V. Skala
中科院分区：
文献类型：
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作者：
A. Emelyanov;V. Skala
我们提出了一种算法，用于从包含严重扫描区域的扫描点云创建现有物理对象的CAD模型。该算法具有线性复杂度，适用于处理大云。对于扫描良好区域的三角剖分，使用了贪婪三角剖分算法组中的一种方法。证明了这种方法使用非常简单和快速的测试的可能性和效率。扫描不良区域的三角剖分是使用到2D表面上的投影来完成的。基于已经三角化的扫描良好的区域，为每个区域局部地定义投影面。当扫描良好的区域由孤立的“孤岛”表示时，该算法可以重建曲面。
We present an algorithm for creating a CAD model of an existing physical object from a scanned point cloud containing badly scanned regions. The algorithm has a linear complexity and can be applied to processing big clouds. For the triangulation of well-scanned regions, a method from the group of greedy triangulation algorithms is used. The possibility and efficiency of use of very simple and fast tests for this method are shown. Triangulation of badly scanned regions is done using a projection onto 2D surface. The projection surface is defined locally for each region on the basis of already triangulated well-scanned regions. The presented algorithm can reconstruct a surface when wellscanned regions are represented by isolated “islands”.