| 一种基于特征匹配的实时电子稳像算法 |
| |
| 引用本文： | 罗诗途,张玘,王艳玲,罗飞路.一种基于特征匹配的实时电子稳像算法[J].国防科技大学学报,2005,27(3):45-48 ，109. |
| |
| 作者姓名： | 罗诗途 张玘 王艳玲 罗飞路 |
| |
| 作者单位： | 国防科技大学,机电工程与自动化学院,湖南,长沙,410073 |
| |
| 基金项目： | 国家自然科学基金资助项目(10376043(A06)) |
| |
| 摘 要： | 为了实时地稳定摄像系统的输出视频,提出了一种基于特征匹配的实时电子稳像算法。将改进的Kanade Lucas Tomasi(KLT)算法用于特征提取,并提出一种新的基于灰度投影均值的特征匹配算法。为了保证稳像结果的鲁棒性,还给出了特征的有效性检验方法。另外,基于高实时性对运动滤波算法的要求,在有意运动参数估计中采用了递归Kalman滤波法。实验表明,在微机上稳定单帧图像仅需24.7ms,能够满足实时性要求,且具有良好的稳像效果。
|
| 关 键 词： | 电子稳像 KLT特征提取 特征匹配 特征有效性检验 递归Kalman滤波 |
| 文章编号： | 1001-2486(2005)03-0045-04 |
| 收稿时间： | 2004/12/19 0:00:00 |
| 修稿时间： | 2004年12月19 |
A Real-time Electronic Image Stabilizing Algorithm Based on Feature Matching |
| |
| LUO Shitu,ZHANG Qi,WANG Yanling and LUO Feilu.A Real-time Electronic Image Stabilizing Algorithm Based on Feature Matching[J].Journal of National University of Defense Technology,2005,27(3):45-48 ，109. |
| |
| Authors: | LUO Shitu ZHANG Qi WANG Yanling and LUO Feilu |
| |
| Institution: | College of Mechatronics Engineering and Automation, National Univ. of Defense Technology, Changsha 410073, China;College of Mechatronics Engineering and Automation, National Univ. of Defense Technology, Changsha 410073, China;College of Mechatronics Engineering and Automation, National Univ. of Defense Technology, Changsha 410073, China;College of Mechatronics Engineering and Automation, National Univ. of Defense Technology, Changsha 410073, China |
| |
| Abstract: | In order to stabilize the output video of camera system in good time, a real-time electronic image stabilizing algorithm based on feature matching is presented. The improved Kanade-Lucas-Tomasi (KLT) algorithm is applied to feature extracting, and a new feature matching algorithm based on projection mean is put forward. Considering the reliability of stabilizing results, a feature validation test method is also given. Besides, based on the high real-time demand for motion filtering, the recursive Kalman filtering is applied in intentional motion parameter estimation. As experiments show, the algorithm just takes 24.7ms to stabilize a single image on PC, fast enough to satisfy the real-time demand, and it has good stabilizing results. |
| |
| Keywords: | electronic image stabilization KLT feature extracting feature matching feature validation test recursive Kalman filtering |
| 本文献已被 CNKI 万方数据 等数据库收录！ |
| 点击此处可从《国防科技大学学报》浏览原始摘要信息 |
| 点击此处可从《国防科技大学学报》下载免费的PDF全文 |
|
