Point Cluster Analysis Using a 3D Voronoi Diagram with Applications in Point Cloud Segmentation
文献类型：SCI/SSCI论文
| 作者 | Ying S.; Xu, G.; Li, C. P.; Mao, Z. Y. |
| 发表日期 | 2015 |
| 关键词 | 3D Voronoi diagram spatial cluster point cloud segmentation mesh segmentation pattern-analysis tessellations simulation |
| 英文摘要 | Three-dimensional (3D) point analysis and visualization is one of the most effective methods of point cluster detection and segmentation in geospatial datasets. However, serious scattering and clotting characteristics interfere with the visual detection of 3D point clusters. To overcome this problem, this study proposes the use of 3D Voronoi diagrams to analyze and visualize 3D points instead of the original data item. The proposed algorithm computes the cluster of 3D points by applying a set of 3D Voronoi cells to describe and quantify 3D points. The decompositions of point cloud of 3D models are guided by the 3D Voronoi cell parameters. The parameter values are mapped from the Voronoi cells to 3D points to show the spatial pattern and relationships; thus, a 3D point cluster pattern can be highlighted and easily recognized. To capture different cluster patterns, continuous progressive clusters and segmentations are tested. The 3D spatial relationship is shown to facilitate cluster detection. Furthermore, the generated segmentations of real 3D data cases are exploited to demonstrate the feasibility of our approach in detecting different spatial clusters for continuous point cloud segmentation. |
| 出处 | ISPRS International Journal of Geo-Information |
| 卷 | 4 |
| 期 | 3 |
| 页 | 1480-1499 |
| 收录类别 | SCI |
| 语种 | 英语 |
| ISSN号 | 2220-9964 |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/39005]  |
| 专题 | 地理科学与资源研究所_历年回溯文献 |
| 推荐引用方式 GB/T 7714 | Ying S.,Xu, G.,Li, C. P.,et al. Point Cluster Analysis Using a 3D Voronoi Diagram with Applications in Point Cloud Segmentation. 2015. |
入库方式： OAI收割
来源：地理科学与资源研究所
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