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基于特征匹配和校验的鲁棒实时电子稳像

Robust Real-time Electronic Image Stabilization Based on Feature Matching and Checking

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摘要

提出了一种基于特征点匹配和校验的鲁棒实时电子稳像算法.首先利用Kanade-Lucas-Tomasi角点检测器提取参考帧和当前帧的特征点,并用绝对误差和准则进行特征点匹配;在校验阶段,提出一种能够有效剔除前景运动物体特征点和错误匹配点的空间位置不变准则;最后,在相似运动模型下,利用最小二乘法求解全局运动矢量进行运动补偿.实验证明:该算法满足实时性要求,对视频的平移、旋转、缩放运动都有较好的稳像效果,并对运动物体具有鲁棒性.

Abstract

A robust real-time electronic image stabilization algorithm was proposed based on feature matching and checking. In the algorithm, feature points in reference and current frame were extracted by Kanade-Lucas-Tomasi corner detector and matched by the sum of absolute difference criterion firstly. In the process of checking, a spatial location invariant criterion was presented to delete those points which were error-matching or appeared in foreground moving objects effectively. Finally, the global motion vector was computed by least-squares algorithm in similarity motion model and applied to compensate. Experimental results show that this algorithm is able to meet the requirement in real time and has good performance to the translation, rotation and zoom, and is robust to foreground moving objects.

Newport宣传-MKS新实验室计划
补充资料

中图分类号:TP391.4

DOI:10.3788/gzxb20114009.1442

收稿日期:2011-05-11

修改稿日期:2011-06-27

网络出版日期:--

作者单位    点击查看

彭小江:西南交通大学 信息科学与技术学院, 成都 610031
张家树:西南交通大学 信息科学与技术学院, 成都 610031

联系人作者:彭小江(xiaojiang_p@yahoo.com)

备注:彭小江(1987-),男,博士研究生,主要研究方向为视频图像处理、模式识别和智能车辆技术.

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引用该论文

PENG Xiao-jiang,ZHANG Jia-shu. Robust Real-time Electronic Image Stabilization Based on Feature Matching and Checking[J]. ACTA PHOTONICA SINICA, 2011, 40(9): 1442-1446

彭小江,张家树. 基于特征匹配和校验的鲁棒实时电子稳像[J]. 光子学报, 2011, 40(9): 1442-1446

被引情况

【1】吴迪,冯华君,徐之海,李奇,陈跃庭. 基于简化对焦模型的自动对焦窗口调整方法. 光子学报, 2016, 45(7): 70710002--1

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