Articulated motion segmentation of point clouds by group-valued regularization

  • Authors:
  • G. Rosman;A. M. Bronstein;M. M. Bronstein;R. Kimmel

  • Affiliations:
  • Dept. of Computer Science, Technion-Israel Institute of Technology, Haifa, Israel;School of Electrical Engineering, Faculty of Engineering, Tel Aviv University, Ramat Aviv, Israel;Institute of Computational Science, Faculty of Informatics, Universitá della Svizzera Italiana, Lugano, Switzerland;Dept. of Computer Science, Technion-Israel Institute of Technology, Haifa, Israel

  • Venue:
  • EG 3DOR'12 Proceedings of the 5th Eurographics conference on 3D Object Retrieval
  • Year:
  • 2012

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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.