Automatic Object Segmentation from Large Scale 3D Urban Point Clouds through Manifold Embedded Mode Seeking
文献类型：会议论文
| 作者 | Zhiding Yu; Chunjing Xu; Yibing Song; Jianzhuang Liu; Oscar C. Au |
| 出版日期 | 2011 |
| 会议名称 | 19th ACM International Conference on Multimedia ACM Multimedia 2011 |
| 会议地点 | Scottsdale, AZ, United states |
| 英文摘要 | This paper presents a system that can automatically segment objects in large scale 3D point clouds obtained from urban ranging images. The system consists of three steps: The first one involves a ground detection process that can detect relatively complex terrain and separate it from other objects. The second step superpixelizes the remaining objects to speed up the segmentation process. In the final step, a manifold embedded mode seeking method is adopted to segment the point clouds. Even though the segmentation of urban objects is a challenging problem in terms of accuracy and problem scale, our system can efficiently generate very good segmentation results. The proposed manifold learning effectively improves the segmentation performance due to the fact that continuous artificial objects often have manifold-like structures. |
| 收录类别 | EI |
| 语种 | 英语 |
| 源URL | [http://ir.siat.ac.cn:8080/handle/172644/3273]  |
| 专题 | 深圳先进技术研究院_集成所 |
| 作者单位 | 2011 |
| 推荐引用方式 GB/T 7714 | Zhiding Yu,Chunjing Xu,Yibing Song,et al. Automatic Object Segmentation from Large Scale 3D Urban Point Clouds through Manifold Embedded Mode Seeking[C]. 见:19th ACM International Conference on Multimedia ACM Multimedia 2011. Scottsdale, AZ, United states. |
入库方式： OAI收割
来源：深圳先进技术研究院
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