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 language | English |
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Title of host publication | 2020 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2020) |
Publisher | IEEE |
Publication date | 2020 |
Pages | 2707-2711 |
Article number | 9054373 |
ISBN (Electronic) | 978-1-5090-6631-5 |
DOIs | |
Publication status | Published - 2020 |
Event | 2020 IEEE International Conference on Acoustics, Speech, and Signal Processing - Virtual event, Barcelona, Spain Duration: 4 May 2020 → 8 May 2020 Conference number: 45 |
Conference
Conference | 2020 IEEE International Conference on Acoustics, Speech, and Signal Processing |
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Number | 45 |
Location | Virtual event |
Country/Territory | Spain |
City | Barcelona |
Period | 04/05/2020 → 08/05/2020 |
Sponsor | IEEE |
Series | Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing |
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ISSN | 1520-6149 |
Keywords
- Lie Algebra
- Manifold Optimization
- Matrix Lie Group
- Video stabilization