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 (ICASSP 2020) - Centre de Convencions Internacional de Barcelona, Barcelona, Spain
Duration: 4 May 20208 May 2020

Conference

Conference2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2020)
LocationCentre de Convencions Internacional de Barcelona
CountrySpain
CityBarcelona
Period04/05/202008/05/2020
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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