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Screened Poisson Surface Reconstruction

机译:筛选泊松表面重建

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Poisson surface reconstruction creates watertight surfaces from oriented point sets. In this work we extend the technique to explicitly incorporate the points as interpolation constraints. The extension can be interpreted as a generalization of the underlying mathematical framework to a screened Poisson equation. In contrast to other image and geometry processing techniques, the screening term is defined over a sparse set of points rather than over the full domain. We show that these sparse constraints can nonetheless be integrated efficiently. Because the modified linear system retains the same finite-element discretization, the sparsity structure is unchanged, and the system can still be solved using a multigrid approach. Moreover we present several algorithmic improvements that together reduce the time complexity of the solver to linear in the number of points, thereby enabling faster, higher-quality surface reconstructions.
机译:泊松曲面重构从定向点集创建水密曲面。在这项工作中,我们扩展了该技术,以明确将这些点合并为插值约束。扩展可以解释为对筛选的泊松方程的基本数学框架的概括。与其他图像和几何处理技术相比,筛选项是在一组稀疏点上定义的,而不是在整个域上定义的。我们表明,这些稀疏约束仍然可以有效地集成。因为修改后的线性系统保留了相同的有限元离散化,所以稀疏结构不变,并且仍然可以使用多网格方法求解该系统。此外,我们提出了几种算法改进,这些改进共同降低了求解器的时间复杂度,使其点数变为线性,从而实现了更快,更高质量的曲面重构。

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