Proc. IEEE International Conference on Acoustics, Speech and Signal Processing,
May 26-31, 2013, Vancouver, Canada.
3D Rotational Video Stabilization Using Manifold Optimization
Chao Jia and
Brian L. Evans
Department of Electrical
and Computer Engineering,
Wireless Networking and Communications Group,
The University of Texas at Austin,
Austin, TX 78712 USA
kurtjc@gmail.com -
bevans@ece.utexas.edu
Paper Draft -
Poster -
Software Release -
Journal Version -
Project Site
Videos:
Example 1 vs. [5] -
Example 1 vs. [7] -
Example 1 vs. Original -
Example 2 vs. [5] -
Example 2 vs. [7] -
Example 2 vs. Original
Abstract
We present a novel video stabilization method for cell phone cameras.
Our video stabilization is based on pure 3D rotation motion model,
which can better capture the motion of the camera compared with 2D
models.
The 3D camera rotation can be reliably captured by gyroscopes equipped
in most modern cell phones.
In this paper we directly smooth the sequence of camera rotation
matrices in the video.
Our contributions are
- a novel smoothness metric for a sequence of 3D rotation matrices
based on geodesic distance on non-linear manifold, and
- an efficient global motion smoothing algorithm using manifold
optimization.
Our smoothness metric better exploits the manifold structure on
sequences of rotation matrices.
Experimental results show that our video stabilization method
outperforms state of the art methods by generating more stable and
visually pleasant videos.
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Last updated 12/31/13.