Space-Time Co-Segmentation of Articulated Point Cloud Sequences
文献类型:期刊论文
作者 | Yuan, Qing; Li, Guiqing; Xu, Kai; Chen, Xudong; Huang, Hui |
刊名 | COMPUTER GRAPHICS FORUM |
出版日期 | 2016 |
英文摘要 | Consistent segmentation is to the center of many applications based on dynamic geometric data. Directly segmenting a raw 3D point cloud sequence is a challenging task due to the low data quality and large inter-frame variation across the whole sequence. We propose a local-to-global approach to co-segment point cloud sequences of articulated objects into near-rigid moving parts. Our method starts from a per-frame point clustering, derived from a robust voting-based trajectory analysis. The local segments are then progressively propagated to the neighboring frames with a cut propagation operation, and further merged through all frames using a novel space-time segment grouping technqiue, leading to a globally consistent and compact segmentation of the entire articulated point cloud sequence. Such progressive propagating and merging, in both space and time dimensions, makes our co-segmentation algorithm especially robust in handling noise, occlusions and pose/view variations that are usually associated with raw scan data. |
收录类别 | SCI |
原文出处 | http://onlinelibrary.wiley.com/doi/10.1111/cgf.12843/full |
语种 | 英语 |
源URL | [http://ir.siat.ac.cn:8080/handle/172644/10169] |
专题 | 深圳先进技术研究院_数字所 |
作者单位 | COMPUTER GRAPHICS FORUM |
推荐引用方式 GB/T 7714 | Yuan, Qing,Li, Guiqing,Xu, Kai,et al. Space-Time Co-Segmentation of Articulated Point Cloud Sequences[J]. COMPUTER GRAPHICS FORUM,2016. |
APA | Yuan, Qing,Li, Guiqing,Xu, Kai,Chen, Xudong,&Huang, Hui.(2016).Space-Time Co-Segmentation of Articulated Point Cloud Sequences.COMPUTER GRAPHICS FORUM. |
MLA | Yuan, Qing,et al."Space-Time Co-Segmentation of Articulated Point Cloud Sequences".COMPUTER GRAPHICS FORUM (2016). |
入库方式: OAI收割
来源:深圳先进技术研究院
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