A 2D-3D Hybrid Approach to Video Stabilization
In this paper, we introduce a novel 2D-3D hybrid video stabilization method which combines virtues of 2D and 3D video stabilization methods in one routine. It attempts to achieve high-quality camera motions and to retain full frame coherence in each frame, at while, ensure that local regions undergo a similarity transformation. Compared with 2D video stabilization, 3D video stabilization can achieve more stable camera motion, even provide the capability of planning camera trajectory. But when casual video is very jittery or motion object in the scene is very large, 3D reconstruction will be error-prone and overkill for the stabilization problem. 2D video stabilization estimates camera motion based on pairwise registration between frames to compute motion compensation. It is robust and efficient, but the motion model of 2D video stabilization is weak, and therefor the amount of stabilization it can provide is limited. We solve the stabilization problem by integrating 3D and 2D video stabilization methods into one routine. It smooths camera motions and explicitly employs local motion information which constraints video frames to be temporal coherent, and achieves high-quality video stabilization. Experiments show that our method not only can achieve high-quality camera motion on good 3D reconstructed scene, but also can deal with complicated videos containing near, large moving objects.
国际会议
2011国际计算机辅助设计与图形学学术会议(CAD/Graphics 2011)
济南
英文
1-8
2011-09-15（万方平台首次上网日期，不代表论文的发表时间）