基于特征匹配的电子稳像优化技术  

Optimization Technique of Electronic Image Stabilization Based on Feature Matching

作　　者：王敬东[1] 王智慧[1] 张春[1] 丁尤蓉[1] 

机构地区：[1]南京航空航天大学自动化学院,南京210016

出　　处：《光子学报》2012年第11期1372-1376,共5页Acta Photonica Sinica

基　　金：国家自然科学基金(No.61074161)资助

摘　　要：针对特征匹配的电子稳像算法存在特征点提取耗时多、准确度不高以及特征点误匹配等问题,从特征点提取及特征点匹配两个方面采取了优化措施,采用基于快速分割特征点提取算法更快地提取特征点,并把特征点定位准确度提高到亚像素级;引入随机采样一致性算法消除误匹配的特征点对,减少场景中局部运动的影响,提高了全局运动参量的估计准确性.实验结果表明,经优化技术处理后,视频稳像准确度高、速度快,能够在存在平移、缩放、旋转及局部有相对运动等情况时保持良好的视频稳像效果.Electronic image stabilization still exists some problems,such as high time-consuming,low accuracy,high eror matching probability and so on.The paper takes appropriate measures to solove these problems from two aspects: feature points extraction and matching.Firstly,the FAST algorithm is adpoted to extracte the feature points,and positional precision of the feature points is improved to the level of sub-pixel.Then the RANSAC algorithm is used to eliminate the error matched points,avoid the interference of relative movement,and the global motion parameters calculated is more accurate.Experimental results show that a more higher precision and faster speed is obtained,which can also be applied for the complex shaking video containing translation,rotation shake and relative movement.

关 键 词：电子稳像 特征点匹配 误匹配消除 全局运动估计 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]