An end-to-end geometric deficiencies elimination algorithm for 3D meshes
文献类型：会议论文
| 作者 | Ma BT(马兵涛)2,3,4 ; Liu HS(刘洪森)2,3,4; Nan LL(南亮亮)1; Tang X(唐旭)2,3; Fan HJ(范慧杰)2,3; Cong Y(丛杨)2,3
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| 出版日期 | 2020 |
| 会议日期 | October 16-18, 2020 |
| 会议地点 | Zhanjiang, China |
| 关键词 | 3D Mesh Geometric deficiencies Mesh repair |
| 页码 | 206-211 |
| 英文摘要 | The 3D mesh is an important representation of geometric data. It is widely used in computer graphics and has attracted more attention in computer vision community recently. However, in the generation of mesh data, geometric deficiencies (e.g., duplicate elements, degenerate faces, isolated vertices, self-intersection, and inner faces) are unavoidable. Geometric deficiencies may violate the topology structure of an object and affect the use of 3D meshes. In this paper, we propose an end-to-end algorithm to eliminate geometric deficiencies effectively and efficiently for 3D meshes in a specific and reasonable order. Specifically, duplicate elements can be first eliminated by assessing appear times of vertices or faces. Then, degenerate faces can be removed according to the outer product of two edges. Next, since isolated vertices do not appear in any face vertices, they can be deleted directly. Afterward, self-intersecting faces are detected and remeshed by using an AABB tree. Finally, we detect and remove an inner face according to whether multiple random rays shooted from a face can reach infinity. Experiments on ModelNet40 dataset illustrate that our method can eliminate the deficiencies of 3D meshes thoroughly. |
| 产权排序 | 1 |
| 会议录 | Proceedings - 2020 35th Youth Academic Annual Conference of Chinese Association of Automation, YAC 2020
 |
| 会议录出版者 | IEEE |
| 会议录出版地 | New York |
| 语种 | 英语 |
| ISBN号 | 978-1-7281-7684-0 |
| WOS记录号 | WOS:000659281900037 |
| 源URL | [http://ir.sia.cn/handle/173321/28379]  |
| 专题 | 沈阳自动化研究所_机器人学研究室 |
| 通讯作者 | Cong Y(丛杨) |
| 作者单位 | 1.Delft University of Technology, Delft 2628BL, Netherlands 2.State Key Laboratory of Robotics, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang 110016, China 3.Institutes for Robotics and Intelligent Manufacturing, Chinese Academy of Sciences, Shenyang 110016, China 4.University of Chinese Academy of Sciences, 100049, China |
| 推荐引用方式 GB/T 7714 | Ma BT,Liu HS,Nan LL,et al. An end-to-end geometric deficiencies elimination algorithm for 3D meshes[C]. 见:. Zhanjiang, China. October 16-18, 2020. |
入库方式： OAI收割
来源：沈阳自动化研究所
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