Articulated Motion Segmentation of Point Clouds by Group-Valued Regularization

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dc.contributor.authorRosman, Guyen_US
dc.contributor.authorBronstein, Alexander M.en_US
dc.contributor.authorBronstein, Michael M.en_US
dc.contributor.authorKimmel, Ronen_US
dc.contributor.editorM. Spagnuolo and M. Bronstein and A. Bronstein and A. Ferreiraen_US
dc.date.accessioned2013-09-24T10:53:08Z
dc.date.available2013-09-24T10:53:08Z
dc.date.issued2012en_US
dc.description.abstractMotion segmentation for articulated objects is an important topic of research. Yet such a segmentation should be as free as possible from underlying assumptions so as to fit general scenes and objects. In this paper we demonstrate an algorithm for articulated motion segmentation of 3D point clouds, free of any assumptions on the underlying model and yet firmly set in a well-defined variational framework. Results on scanned images show the generality of the proposed technique and its robustness to scanning artifacts and noise.en_US
dc.description.sectionheadersSession 3en_US
dc.description.seriesinformationEurographics Workshop on 3D Object Retrievalen_US
dc.identifier.isbn978-3-905674-36-1en_US
dc.identifier.issn1997-0463en_US
dc.identifier.urihttps://doi.org/10.2312/3DOR/3DOR12/077-084en_US
dc.publisherThe Eurographics Associationen_US
dc.subjectCategories and Subject Descriptors (according to ACM CCS): I.3.5 [Computer Graphics]: Computer Graphics- Computational Geometry and Object Modelingen_US
dc.titleArticulated Motion Segmentation of Point Clouds by Group-Valued Regularizationen_US
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