Gyroscope Aided Video Stabilization Using Nonlinear Regression on Special Orthogonal Group

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    Abstract

    This paper presents a novel approach for gyroscope aided video stabilization. With the raw 3D rotational motion captured by a gyroscope, it is then smoothed through nonlinear regression directly on the Special Orthogonal Group. Instead of solving a variational problem, the regression problem is discretized with finite forward difference, which makes it an optimization problem on manifold. We derive a quadratic approximation of the objective function using Lie algebra. To address the black border problem caused by smoothing, we model it as linear inequality constraints. The resulting quadratic programming problem can be efficiently solved. Experiments on synthetic data and real video sequences demonstrate that our method performs better than the compared method in terms of motion smoothing and video stabilization.

    Original languageEnglish
    Title of host publication2020 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2020)
    PublisherIEEE
    Publication date2020
    Pages2707-2711
    Article number9054373
    ISBN (Electronic)978-1-5090-6631-5
    DOIs
    Publication statusPublished - 2020
    Event2020 IEEE International Conference on Acoustics, Speech, and Signal Processing - Virtual event, Barcelona, Spain
    Duration: 4 May 20208 May 2020
    Conference number: 45

    Conference

    Conference2020 IEEE International Conference on Acoustics, Speech, and Signal Processing
    Number45
    LocationVirtual event
    Country/TerritorySpain
    CityBarcelona
    Period04/05/202008/05/2020
    SponsorIEEE
    SeriesProceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing
    ISSN1520-6149

    Keywords

    • Lie Algebra
    • Manifold Optimization
    • Matrix Lie Group
    • Video stabilization

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