Rosman, GuyBronstein, Alexander M.Bronstein, Michael M.Kimmel, RonM. Spagnuolo and M. Bronstein and A. Bronstein and A. Ferreira2013-09-242013-09-242012978-3-905674-36-11997-0463https://doi.org/10.2312/3DOR/3DOR12/077-084Motion 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.Categories and Subject Descriptors (according to ACM CCS): I.3.5 [Computer Graphics]: Computer Graphics- Computational Geometry and Object ModelingArticulated Motion Segmentation of Point Clouds by Group-Valued Regularization