@inproceedings{f45d43a8c17c4c72a88291b4f29b643d,
title = "Group-valued regularization framework for motion segmentation of dynamic non-rigid shapes",
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.",
keywords = "Ambrosio-Tortorelli, Lie-groups, Motion Segmentation, Surface Diffusion",
author = "Guy Rosman and Bronstein, {Michael M.} and Bronstein, {Alexander M.} and Alon Wolf and Ron Kimmel",
year = "2012",
doi = "10.1007/978-3-642-24785-9_61",
language = "الإنجليزيّة",
isbn = "9783642247842",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
pages = "725--736",
booktitle = "Scale Space and Variational Methods in Computer Vision - Third International Conference, SSVM 2011, Revised Selected Papers",
note = "3rd International Conference on Scale Space and Variational Methods in Computer Vision, SSVM 2011 ; Conference date: 29-05-2011 Through 02-06-2011",
}