空军工程大学学报（自然科学版）2012，Vol.13Issue(6)：55-59,65,6.DOI:10.3969/j.issn.1009-3516.2012.06.012
一种快速鲁棒的全局运动估计算法
A Fast and Robust Global Motion Estimation Algorithm
摘要
Abstract
Local movement and inaccurate motion vectors affect the accuracy of global motion estimation seriously. In order to solve this problem, a fast and robust global motion estimation algorithm is proposed in this paper. Firstly, block matching algorithm (BMA) is used to estimate motion vectors. Then the inaccurate motion vectors are excluded by gradient mean residual error method to improve the accuracy of estimated global motion field. Secondly, the initial global motion parameters are estimated using a 6-parameter affine model and they are iteratively refined by matching weighting method. Thus the most accurate global motion parameters can be obtained. Experimental results show that the proposed method is efficient and robust in terms of both computational complexity and accuracy关键词
全局运动估计/块匹配算法/梯度均值残差/仿射模型Key words
global motion estimation / block matching algorithm / gradient mean residual error / affine model分类
信息技术与安全科学引用本文复制引用
秦荣,马志强,张晓燕,陈广居..一种快速鲁棒的全局运动估计算法[J].空军工程大学学报（自然科学版）,2012,13(6):55-59,65,6.基金项目
陕西省自然科学基础研究计划资助项目(2010JM8014) （2010JM8014）
中国博士后科学基金资助项目(20100471838) （20100471838）
中国博士后特别基金资助项目(201104787) （201104787）
