对数极坐标图像匹配在目标姿态测量中的应用

本文介绍了一种基于极坐标下图像匹配的方法实现帧与帧之间旋转角度的计算,并可以得到目标轮廓保证可靠跟踪,其坐标变换部分不同于传统的对数极坐标变换,该方法并不进行对笛卡尔坐标系下图像的采样,而是完全保留目标精确的边缘信息用以进行边缘形状匹配.匹配过程分为粗匹配和精匹配两步进行,这种方法主要是利用了极坐标下目标轮廓旋转不变性来实现的.本文还提出了一种双目测量目标旋转角度系统,通过该系统可以完成对空间中的目标在任一旋转平面上的旋转角度.实验证明,该方法计算量小、简单实用、跟踪精度满足要求.

Log-polar image matching for moving target attitude detection

The target attitude extraction is an important task for moving target trackers, especially, the rotated targets recognition and tracking. A technique to calculate rotating angles and to utilize scaling value to ensure credibility tracking with contour of the target is introduced in the paper. In this method, the coordinate transformation is different from the traditional log-polar trasform. The accurate contour is remained completely after the coordinate transformation. The matching process is divided into two steps; one is rough matching and the other is fine matching. And a binocular camera system is proposed in this paper. The experimental results show the tracking accuracy meets the system requirement with a small quantity of calculation.