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SurfCut:来自拓扑结构的最小路径曲面。

SurfCut: Surfaces of Minimal Paths from Topological Structures.

作者信息

Algarni Marei, Sundaramoorthi Ganesh

出版信息

IEEE Trans Pattern Anal Mach Intell. 2019 Mar;41(3):726-739. doi: 10.1109/TPAMI.2018.2811810. Epub 2018 Mar 5.

Abstract

We present SurfCut, an algorithm for extracting a smooth, simple surface with an unknown 3D curve boundary from a noisy 3D image and a seed point. Our method is built on the novel observation that ridge curves of the Euclidean length of minimal paths ending on a level set of the solution of the eikonal equation lie on the surface. Our method extracts these ridges and cuts them to form the surface boundary. Our surface extraction algorithm is built on the novel observation that the surface lies in a valley of the eikonal equation solution. The resulting surface is a collection of minimal paths. Using the framework of cubical complexes and Morse theory, we design algorithms to extract ridges and valleys robustly. Experiments on three 3D datasets show the robustness of our method, and that it achieves higher accuracy with lower computational cost than state-of-the-art.

摘要

我们提出了SurfCut算法,它能够从有噪声的3D图像和一个种子点中提取出具有未知3D曲线边界的光滑简单曲面。我们的方法基于一个新颖的观察结果:终止于程函方程解的水平集上的最小路径的欧几里得长度的脊曲线位于该曲面上。我们的方法提取这些脊线并对其进行切割以形成曲面边界。我们的曲面提取算法基于一个新颖的观察结果:该曲面位于程函方程解的一个谷中。生成的曲面是一组最小路径。利用立方复形和莫尔斯理论的框架,我们设计了鲁棒地提取脊线和谷的算法。在三个3D数据集上的实验表明了我们方法的鲁棒性,并且它比现有技术以更低的计算成本实现了更高的精度。

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