@inproceedings{18348,
  abstract     = {We present a novel method for estimation of articulated motion in depth scans. The method is based on a framework for regularization of vector- and matrix- valued functions on parametric surfaces.

We extend augmented-Lagrangian total variation regularization to smooth rigid motion cues on the scanned 3D surface obtained from a range scanner. We demonstrate the resulting smoothed motion maps to be a powerful tool in articulated scene understanding, providing a basis for rigid parts segmentation, with little prior assumptions on the scene, despite the noisy depth measurements that often appear in commodity depth scanners.},
  author       = {Rosman, Guy and Bronstein, Alexander and Bronstein, Michael M. and Tai, Xue-Cheng and Kimmel, Ron},
  booktitle    = {Computer Vision, ECCV 2012 - Workshops and Demonstrations},
  isbn         = {9783642338625},
  issn         = {1611-3349},
  location     = {Florence, Italy},
  number       = {Part 1},
  pages        = {52--62},
  publisher    = {Springer Nature},
  title        = {{Group-valued regularization for analysis of articulated motion}},
  doi          = {10.1007/978-3-642-33863-2_6},
  volume       = {7583},
  year         = {2012},
}