Group-Valued regularization framework for motion segmentation of dynamic non-rigid shapes

  • Authors:

  • Guy Rosman;Michael M. Bronstein;Alexander M. Bronstein;Alon Wolf;Ron Kimmel

  • Affiliations:

  • Dept. of Computer Science, Technion --- Israel Institute of Technology, Haifa, Israel;Institute of Computational Science, Faculty of Informatics, Universit della Svizzera italiana, Lugano, Switzerland;School of Electrical Engineering, Faculty of Engineering, Tel Aviv University, Israel;Dept. of Mechanical Engineering, Technion --- Israel Institute of Technology, Haifa, Israel;Dept. of Computer Science, Technion --- Israel Institute of Technology, Haifa, Israel

  • Venue:
  • SSVM'11 Proceedings of the Third international conference on Scale Space and Variational Methods in Computer Vision
  • Year:
  • 2011

Quantified Score

Hi-index 0.00

Visualization

Abstract

Understanding of articulated shape motion plays an important role in many applications in the mechanical engineering, movie industry, graphics, and vision communities. In this paper, we study motion-based segmentation of articulated 3D shapes into rigid parts. We pose the problem as finding a group-valued map between the shapes describing the motion, forcing it to favor piecewise rigid motions. Our computation follows the spirit of the Ambrosio-Tortorelli scheme for Mumford-Shah segmentation, with a diffusion component suited for the group nature of the motion model. Experimental results demonstrate the effectiveness of the proposed method in non-rigid motion segmentation.