A Variable Scale Approach for Neighbor Search in Point Cloud Data
文献类型：会议论文
| 作者 | Min, Lingwei; Song, Zhangjun; Yang, Xiaoping; Zhang, Jianwei |
| 出版日期 | 2014 |
| 会议名称 | Processing of 2014 International Conference on Multisensor Fusion and Information Integration for Intelligent Systems, MFI 2014 |
| 会议地点 | 中国 |
| 英文摘要 | An algorithm for selecting nearest neighbors at a variable scale rather than a fixed search radius in point cloud neighbor search is proposed in this paper. We employ the concepts in differential geometry and divide the point cloud into different clusters according to their surface types. Not only the distance metric but also the clusters' surface type is taken into condition when we search the neighbors of a certain point. This results in a variable scale in nearest neighbor search which can preserve good enough details even using a big scale as well as reduce side effects of noise data caused by using a small scale. The proposed algorithm is tested with the data of Stanford Bunny by simulation. Its effectiveness is confirmed by the experiments. |
| 收录类别 | EI |
| 语种 | 英语 |
| 源URL | [http://ir.siat.ac.cn:8080/handle/172644/5599]  |
| 专题 | 深圳先进技术研究院_集成所 |
| 作者单位 | 2014 |
| 推荐引用方式 GB/T 7714 | Min, Lingwei,Song, Zhangjun,Yang, Xiaoping,et al. A Variable Scale Approach for Neighbor Search in Point Cloud Data[C]. 见:Processing of 2014 International Conference on Multisensor Fusion and Information Integration for Intelligent Systems, MFI 2014. 中国. |
入库方式： OAI收割
来源：深圳先进技术研究院
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