提出了一种基于IEKF序列图像分析的航天器间相对状态单目视觉测量方法。
The paper proposes a method of determining the relative states between spacecrafts based on IEKF image sequence analysis and monocular computer vision.
序列图像分析的基本任务是从图像序列中检测出运动目标并估计其三维运动参数和结构参数。
It's task is to detect motion object and reconstruct three-dimensional motion and structure parameters from image sequences.
针对传统的模板匹配技术的不足，采用变模板匹配技术，开发了列车部件撞击序列图像运动分析软件。
Aimed at insufficiency of traditional template matching technique kinematic analysis software of image sequence of train component crash was developed adopted alterable template matching technique.
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