论文标题

3D网格的端到端几何缺陷消除算法

An End-to-End Geometric Deficiency Elimination Algorithm for 3D Meshes

论文作者

Ma, Bingtao, Liu, Hongsen, Nan, Liangliang, Cong, Yang

论文摘要

3D网格是几何数据的重要表示。在网格数据的产生中,几何缺陷(例如,重复的元素,堕落的面部,孤立的顶点,自我交流和内在的面孔)是不可避免的,并且可能违反对象的拓扑结构。在本文中,我们提出了3D网格的有效有效的几何缺陷消除算法。具体而言,可以通过评估顶点或面部的发生时间来消除重复的元素;可以根据两个边的外产物去除堕落的面部;由于孤立的顶点没有出现在任何面顶点中,因此可以直接删除。使用AABB树检测到自相反面孔,然后再进行重新测试。通过模拟从脸部射击的多个随机射线是否可以到达无穷大,我们可以判断表面是否是内在的脸,然后决定删除它。 ModelNet40数据集的实验表明,我们的方法可以彻底消除3D网格的缺陷。

The 3D mesh is an important representation of geometric data. In the generation of mesh data, geometric deficiencies (e.g., duplicate elements, degenerate faces, isolated vertices, self-intersection, and inner faces) are unavoidable and may violate the topology structure of an object. In this paper, we propose an effective and efficient geometric deficiency elimination algorithm for 3D meshes. Specifically, duplicate elements can be eliminated by assessing the occurrence times of vertices or faces; degenerate faces can be removed according to the outer product of two edges; since isolated vertices do not appear in any face vertices, they can be deleted directly; self-intersecting faces are detected using an AABB tree and remeshed afterward; by simulating whether multiple random rays that shoot from a face can reach infinity, we can judge whether the surface is an inner face, then decide to delete it or not. Experiments on ModelNet40 dataset illustrate that our method can eliminate the deficiencies of the 3D mesh thoroughly.

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