德劳内三角测量
点云
曲面重建
曲面(拓扑)
沃罗诺图
多边形网格
Bowyer–Watson算法
网格生成
算法
离群值
三角测量
三角形网格
计算机科学
数学
约束Delaunay三角剖分
曲面三角测量
计算机视觉
人工智能
几何学
有限元法
热力学
物理
作者
Pengfei Wang,Zixiong Wang,Shiqing Xin,Xifeng Gao,Wenping Wang,Changhe Tu
摘要
The task of explicit surface reconstruction is to generate a surface mesh by interpolating a given point cloud. Explicit surface reconstruction is necessary when the point cloud is required to appear exactly on the surface. However, for a non-perfect input, such as lack of normals, low density, irregular distribution, thin and tiny parts, and high genus, a robust explicit reconstruction method that can generate a high-quality manifold triangulation is missing. We propose a robust explicit surface reconstruction method that starts from an initial simple surface mesh, alternately performs a Filmsticking step and a Sculpting step of the initial mesh, and converges when the surface mesh interpolates all input points (except outliers) and remains stable. The Filmsticking is to minimize the geometric distance between the surface mesh and the point cloud through iteratively performing a restricted Voronoi diagram technique on the surface mesh, whereas the Sculpting is to bootstrap the Filmsticking iteration from local minima by applying appropriate geometric and topological changes of the surface mesh. Our algorithm is fully automatic and produces high-quality surface meshes for non-perfect inputs that are typically considered to be challenging for prior state of the art. We conducted extensive experiments on simulated scans and real scans to validate the effectiveness of our approach.
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