中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
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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