兵工自动化2017，Vol.36Issue(12)：43-47,51,6.DOI:10.7690/bgzdh.2017.12.011
基于ORB特征匹配的全局运动估计
Global Motion Estimation Based on ORB Matching
摘要
Abstract
In order to improve the accuracy of global motion estimation, this paper proposes a global motion estimation method based on oriented FAST and rotated BRIEF (ORB) features. Firstly, the difference image is divided into blocks, and the effective background motion module is selected by setting the threshold. Then, the selected background modules are matched by the ORB feature, and substituted into the six-parameter motion model. Finally, the estimation parameters are solved by the least squares method, which are used to compensate the current frame. Compare the sharpness of the target contour of difference image before and after compensation. The experimental results demonstrate that the proposed algorithm can effectively remove the influence of the local motion and ensure the accuracy of the global motion estimation, while ensuring the effectiveness of the algorithm.关键词
全局运动估计/ORB特征匹配/参数模型/背景运动模块Key words
global motion estimation/ORB matching/parameter model/background motion module分类
信息技术与安全科学引用本文复制引用
王朋月,毛征,张晨,张广申..基于ORB特征匹配的全局运动估计[J].兵工自动化,2017,36(12):43-47,51,6.基金项目
国家自然科学基金资助项目(81370038) （81370038）
