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A topological approach for surface reconstruction from sample points

机译:从采样点重建表面的拓扑方法

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Most algorithms for surface reconstruction from sample points rely on computationally demanding operations to derive the reconstruction. In this paper we introduce an innovative approach for generating 3D piecewise linear approximations from sample points that relies strongly on topological information, thus reducing the computational cost and numerical instabilities typically associated with geometric computations. Discrete Morse theory provides the basis for a topological framework that supports a robust reconstruction algorithm capable of handling multiple components and has lowrncomputational cost. We describe the proposed approach and introduce the reconstruction algorithm, called TSR - topological surface reconstructor. Some reconstruction results are presented and the performance of TSR is compared with that of other reconstruction approaches for some standard point sets.
机译:用于从采样点进行表面重构的大多数算法都依赖于计算量大的操作来得出重构。在本文中,我们介绍了一种创新的方法,该方法可从样本点生成3D分段线性逼近,该方法强烈依赖于拓扑信息,从而减少了通常与几何计算相关的计算成本和数值不稳定性。离散莫尔斯理论为拓扑框架提供了基础,该拓扑框架支持能够处理多个组件且计算成本较低的鲁棒重建算法。我们描述了所提出的方法,并介绍了称为TSR的重建算法-拓扑表面重建器。给出了一些重建结果,并将TSR的性能与某些标准点集的其他重建方法进行了比较。

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