Multi-body non-rigid structure-from-motion

Suryansh Kumar*, Yuchao Dai, Hongdong Li

*Corresponding author for this work

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    30 Citations (Scopus)

    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.

    Original languageEnglish
    Title of host publicationProceedings - 2016 4th International Conference on 3D Vision, 3DV 2016
    PublisherInstitute of Electrical and Electronics Engineers Inc.
    Pages148-156
    Number of pages9
    ISBN (Electronic)9781509054077
    DOIs
    Publication statusPublished - 15 Dec 2016
    Event4th International Conference on 3D Vision, 3DV 2016 - Stanford, United States
    Duration: 25 Oct 201628 Oct 2016

    Publication series

    NameProceedings - 2016 4th International Conference on 3D Vision, 3DV 2016

    Conference

    Conference4th International Conference on 3D Vision, 3DV 2016
    Country/TerritoryUnited States
    CityStanford
    Period25/10/1628/10/16

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