@inproceedings{f8dc4097c60540538929f83bc8c082d6,
title = "Multi-body non-rigid structure-from-motion",
abstract = "In this paper, we present the first multi-body non-rigid structure-from-motion (SFM) method, which simultaneously reconstructs and segments multiple objects that are undergoing non-rigid deformation over time. Under our formulation, 3D trajectories for each non-rigid object can be well approximated with a sparse affine combination of other 3D trajectories from the same object. The resultant optimization is solved by the alternating direction method of multipliers (ADMM). We demonstrate the efficacy of the proposed method through extensive experiments on both synthetic and real data sequences. Our method outperforms other alternative methods, such as first clustering the 2D feature tracks to groups and then doing non-rigid reconstruction in each group or first conducting 3D reconstruction by using single subspace assumption and then clustering the 3D trajectories into groups.",
author = "Suryansh Kumar and Yuchao Dai and Hongdong Li",
note = "Publisher Copyright: {\textcopyright} 2016 IEEE.; 4th International Conference on 3D Vision, 3DV 2016 ; Conference date: 25-10-2016 Through 28-10-2016",
year = "2016",
month = dec,
day = "15",
doi = "10.1109/3DV.2016.23",
language = "English",
series = "Proceedings - 2016 4th International Conference on 3D Vision, 3DV 2016",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "148--156",
booktitle = "Proceedings - 2016 4th International Conference on 3D Vision, 3DV 2016",
address = "United States",
}