乒乓球的三维运动轨迹重建

主要基于图像序列对乒乓球的运动轨迹进行三维重建,并对乒乓球运动形态进行分析.首先对采集的图像进行立体校正,利用颜色识别和改进的霍夫圆检测算法提取出序列图像中乒乓球的圆心坐标;然后根据前后帧图像的特征点坐标差值在时间序列上匹配特征点;最后,利用三角测量法对匹配的特征点进行三维重建,并计算出乒乓球不同时刻的速度和加速度,实现了动态物体的三维运动重建.实验结果表明该三维运动重建方法提高了特征提取的准确性,有效地实现了时间序列上的匹配,获得了物体的三维运动数据.

Three Dimensional Trajectory Reconstruction of Table Tennis

Mainly based on the image sequence, this study reconstructs the movement track of table tennis, and analyzes the movement form of table tennis. Firstly, the collected image is stereo corrected, and the center coordinates of the table tennis in the sequence image are extracted by color recognition and improved Hough circle detection algorithm; then, the feature points are matched on the time series according to the difference of the feature point coordinates of the front and back frame images; finally, the matching feature points are 3D reconstructed by triangulation, and the speed and acceleration of the table tennis at different times are calculated, the 3D motion reconstruction of dynamic object is realized. The experimental results show that the 3D motion reconstruction method improves the accuracy of feature extraction, effectively realizes the matching on time series, and obtains the 3D motion data of the object.