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基于特征点匹配技术的运动估计及补偿方法
引用本文:钟平,于前洋,金光.基于特征点匹配技术的运动估计及补偿方法[J].光电子.激光,2004,15(1):73-77.
作者姓名:钟平  于前洋  金光
作者单位:中国科学院长春光学精密机械与物理研究所,吉林,长春,130022
基金项目:中国科学院青年创新基金资助项目(Q01R07)
摘    要:提出一种用于电子稳像技术的全局运动估计和补偿算法。通过特征点匹配,求其局部运动矢量;将其代入变换模型所得的线性力程组,求其全局运动矢量。用均值滤波的方法确定各帧的补偿量,并代入给定的变换模型对当前图像进行变换,实现对视频图像序列的稳定处理。为了减小特征点匹配计算的复杂性,加快匹配速度,还采用了多分辨率图像金字塔匹配策略。实验表明.使用该算法对于提高动态图像的稳定性有较好的效果。

关 键 词:特征点匹配  运动估计  均值滤波  数字图像稳定  运动补偿  运动矢量  视频图像
文章编号:1005-0086(2004)01-0073-05

Motion Estimation and Motion Compensation Based on Matching Technology of Feature Point
ZHONG Ping.Motion Estimation and Motion Compensation Based on Matching Technology of Feature Point[J].Journal of Optoelectronics·laser,2004,15(1):73-77.
Authors:ZHONG Ping
Affiliation:ZHONG Ping~
Abstract:An algorithm of global motion estimation and compensation applied to electric digital image stabilization was presented.The local motion vector of the block was determined by feature point matching.Globe motion vector between the reference frame and the current frames is obtained by solution of a set of linear equations which come form a given motion model.The parameters to compensate for the current image can be determined by average value filtering and have been applied to give motion model to stabilize the image stream.In order to reduce the computation complexity and speed matching a multi-resolution strategy was adopted.The experiments show that the algorithm has a better effect for improving dynamic image stabilization.
Keywords:feature point matching  motion estimation  average value filtering  digital image stabilization
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