Robust global motion estimation in video stabilization for reducing visually induced motion sickness
Robust global motion estimation in video stabilization for reducing visually induced motion sickness
复制标题
视频稳定中稳健的全局运动估计可减少视觉诱发的晕动病
DOI：
10.1117/12.643259
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发表时间：
2006
期刊：
影响因子：
--
通讯作者：
T. Saito
中科院分区：
文献类型：
--
作者：
I. Tsubaki;T. Morita;K. Aizawa;T. Saito
本文提出了一种基于MDPE算法的鲁棒全局运动估计算法，用于视频稳定。MDPE算法是一种鲁棒的模型拟合方法，但存在较高的崩溃点。我们评估了鲁棒模型拟合方法，M-估计，RANSAC和MDPE的全局运动估计的性能。本文还提出了一种用于视频稳定的改进的MDPE。最后，基于我们的鲁棒全局运动估计的视频稳定进行了检查。
We present robust global motion estimation by MDPE algorithm for video stabilization. MDPE algorithm is a robust model fitting method, which has high breakdown point. We evaluate the performance of global motion estimation by robust model fitting methods, M-estimator, RANSAC and MDPE. An improvement of the MDPE for video stabilization is also presented. Finally, the video stabilization based on our robust global motion estimation is examined.