Consolidation of Low-quality Point Clouds from Outdoor Scenes
文献类型：期刊论文
| 作者 | Jun Wang; Kai Xu; Ligang Liu; Junjie Cao; Shengjun Liu; Zeyun Yu; Xianfeng David Gu |
| 刊名 | COMPUTER GRAPHICS FORUM
 |
| 出版日期 | 2013 |
| 英文摘要 | The emergence of laser/LiDAR sensors, reliable multi-view stereo techniques and more recently consumer depth cameras have brought point clouds to the forefront as a data format useful for a number of applications. Unfortunately, the point data from those channels often incur imperfection, frequently contaminated with severe outliers and noise. This paper presents a robust consolidation algorithm for low-quality point data from outdoor scenes, which essentially consists of two steps: 1) outliers filtering and 2) noise smoothing. We first design a connectivity-based scheme to evaluate outlierness and thereby detect sparse outliers. Meanwhile, a clustering method is used to further remove small dense outliers. Both outlier removal methods are insensitive to the choice of the neighborhood size and the levels of outliers. Subsequently, we propose a novel approach to estimate normals for noisy points based on robust partial rankings, which is the basis of noise smoothing. Accordingly, a fast approach is exploited to smooth noise, while preserving sharp features. We evaluate the effectiveness of the proposed method on the point clouds from a variety of outdoor scenes. |
| 收录类别 | SCI |
| 原文出处 | http://onlinelibrary.wiley.com/doi/10.1111/cgf.12187/abstract |
| 语种 | 英语 |
| 源URL | [http://ir.siat.ac.cn:8080/handle/172644/4402]  |
| 专题 | 深圳先进技术研究院_集成所 |
| 作者单位 | COMPUTER GRAPHICS FORUM |
| 推荐引用方式 GB/T 7714 | Jun Wang,Kai Xu,Ligang Liu,et al. Consolidation of Low-quality Point Clouds from Outdoor Scenes[J]. COMPUTER GRAPHICS FORUM,2013. |
| APA | Jun Wang.,Kai Xu.,Ligang Liu.,Junjie Cao.,Shengjun Liu.,...&Xianfeng David Gu.(2013).Consolidation of Low-quality Point Clouds from Outdoor Scenes.COMPUTER GRAPHICS FORUM. |
| MLA | Jun Wang,et al."Consolidation of Low-quality Point Clouds from Outdoor Scenes".COMPUTER GRAPHICS FORUM (2013). |
入库方式： OAI收割
来源：深圳先进技术研究院
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