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Patch-Graph Reconstruction for Piecewise Smooth Surfaces

机译:分段光滑表面的补丁图重建

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In this paper we present a new surface reconstruction technique for piecewise smooth surfaces from point clouds, such as scans of architectural sites or man-made artifacts. The technique operates in three conceptual steps: First, a graph of local surface patches, each consisting of a set of basis functions, is assembled. Second, we establish topological connectivity among the nodes that respects sharp features. Third, we find optimal coefficients for the basis functions in each node by solving a sparse optimization problem. Our final representation allows for robust finding of crease and border edges which separate the piecewise smooth parts. As output of our approach, we extract a clean, manifold surface mesh which preserves and even aggravates feature lines. The main benefit of our new proposal in comparison to previous work is its robustness and efficiency, which we examine by applying the algorithm to a variety of different synthetic and real-word data sets.
机译:在本文中,我们提出了一种新的表面重构技术,用于点云的分段平滑表面,例如建筑场所或人造工件的扫描。该技术以三个概念性步骤进行操作:首先,组装局部表面贴图,每个局部贴图由一组基础函数组成。其次,我们在尊重尖锐特征的节点之间建立拓扑连接。第三,通过解决稀疏优化问题,找到每个节点中基函数的最佳系数。我们的最终表示可以可靠地找到将分段的平滑部分分开的折痕和边界边缘。作为我们方法的输出,我们提取了一个干净的,多面的表面网格,该网格保留甚至加剧了特征线。与以前的工作相比,我们的新建议的主要好处是它的鲁棒性和效率,我们通过将该算法应用于各种不同的合成和实词数据集来进行研究。

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