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

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.