Articulated Motion Segmentation of Point Clouds by Group-Valued Regularization

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Date
2012
Journal Title
Journal ISSN
Volume Title
Publisher
The Eurographics Association
Abstract
Motion 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.
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@inproceedings{
:10.2312/3DOR/3DOR12/077-084
, booktitle = {
Eurographics Workshop on 3D Object Retrieval
}, editor = {
M. Spagnuolo and M. Bronstein and A. Bronstein and A. Ferreira
}, title = {{
Articulated Motion Segmentation of Point Clouds by Group-Valued Regularization
}}, author = {
Rosman, Guy
and
Bronstein, Alexander M.
and
Bronstein, Michael M.
and
Kimmel, Ron
}, year = {
2012
}, publisher = {
The Eurographics Association
}, ISSN = {
1997-0463
}, ISBN = {
978-3-905674-36-1
}, DOI = {
/10.2312/3DOR/3DOR12/077-084
} }
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