ICCV 2011 – Multiview Structure from Motion in Trajectory Space

| November 1, 2011

Aamer Zaheer, Ijaz Akhter, Mohammad Haris Baig, Shabbir Marzban, Sohaib Khan
International Conference on Computer Vision, ICCV, 2011

Abstract

Most nonrigid objects exhibit temporal regularities in their deformations. Recently it was proposed that these regularities can be parameterized by assuming that the non- rigid structure lies in a small dimensional trajectory space. In this paper, we propose a factorization approach for 3D reconstruction from multiple static cameras under the com- pact trajectory subspace representation. Proposed factor- ization is analogous to rank-3 factorization of rigid struc- ture from motion problem, in transformed space. The benefit of our approach is that the 3D trajectory basis can be directly learned from the image observations. This also allows us to impute missing observations and denoise tracking errors without explicit estimation of the 3D structure. In contrast to standard triangulation based methods which require points to be visible in at least two cameras, our ap- proach can reconstruct points, which remain occluded even in all the cameras for quite a long time. This makes our solution especially suitable for occlusion handling in motion capture systems. We demonstrate robustness of our method on challenging real and synthetic scenarios.

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Text Reference

Aamer Zaheer, Ijaz Akhter, Mohammad Haris Baig, Shabbir Marzban, Sohaib Khan
Multiview Structure from Motion in Trajectory Space
Proceedings of the 13th International Conference on Computer Vision (ICCV),
Barcelona, Spain, Nov 2011

Bibtex Reference

@inproceedings{zaheer2011multiview,
  title={Multiview structure from motion in trajectory space},
  author={Zaheer, A. and Akhter, I. and Baig, M.H. and Marzban, S. and Khan, S.},
  booktitle={Computer Vision (ICCV), 2011 IEEE International Conference on},
  pages={2447--2453},
  year={2011},
  organization={IEEE}
}

 

 

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Category: Conference Papers, Publications

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