Space-Time Co-Segmentation of Articulated Point Cloud Sequences

dc.contributor.authorYuan, Qingen_US
dc.contributor.authorLi, Guiqingen_US
dc.contributor.authorXu, Kaien_US
dc.contributor.authorChen, Xudongen_US
dc.contributor.authorHuang, Huien_US
dc.contributor.editorJoaquim Jorge and Ming Linen_US
dc.date.accessioned2016-04-26T08:38:49Z
dc.date.available2016-04-26T08:38:49Z
dc.date.issued2016en_US
dc.description.abstractConsistent 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.en_US
dc.description.number2en_US
dc.description.sectionheadersGeometric Modelingen_US
dc.description.seriesinformationComputer Graphics Forumen_US
dc.description.volume35en_US
dc.identifier.doi10.1111/cgf.12843en_US
dc.identifier.issn1467-8659en_US
dc.identifier.pages419-429en_US
dc.identifier.urihttps://doi.org/10.1111/cgf.12843en_US
dc.publisherThe Eurographics Association and John Wiley & Sons Ltd.en_US
dc.subjectI.3.5 [Computer Graphics]en_US
dc.subjectComputational Geometry and Object Modelingen_US
dc.subjectModelingen_US
dc.subjectI.3.7 [Computer Graphics]en_US
dc.subjectThree Dimensional Graphics and Realismen_US
dc.subjectAnimationen_US
dc.titleSpace-Time Co-Segmentation of Articulated Point Cloud Sequencesen_US
Files